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Potorti F, Park S, Crivello A, Palumbo F, Girolami M, Barsocchi P, Lee S, Torres-Sospedra J, Jimenez AR, Perez-Navarro A, Mendoza-Silva GM, Seco F, Ortiz M, Perul J, Renaudin V, and al., "The IPIN 2019 Indoor Localisation Competition -Description and Results", IEEE Access, November, 2020, 47p. Institute of Electrical and Electronics Engineers (IEEE).
Abstract: IPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Tracks presented in this paper were set in the same environment, made of two buildings close together for a total usable area of 1000m2 outdoors and and 6000m2 indoors over three floors, with a total path length exceeding 500 m. IPIN competitions, based on the EvAAL framework, have aimed at comparing the accuracy performance of personal positioning systems in fair and realistic conditions: past editions of the competition were carried in big conference settings, university campuses and a shopping mall. Positioning accuracy is computed while the person carrying the system under test walks at normal walking speed, uses lifts and goes up and down stairs or briefly stops at given points. Results presented here are a showcase of state-of-the-art systems tested side by side in real-world settings as part of the on-site real-time competition Tracks. Results for off-site Tracks allow a detailed and reproducible comparison of the most recent positioning and tracking algorithms in the same environment as the on-site Tracks.
BibTeX:
@article{Potorti2020,
  author = {Francesco Potorti and Sangjoon Park and Antonino Crivello and Filippo Palumbo and Michele Girolami and Paolo Barsocchi and Soyeon Lee and Joaquin Torres-Sospedra and Antonio Ramon Jimenez and Antoni Perez-Navarro and German M. Mendoza-Silva and Fernando Seco and Miguel Ortiz and Johan Perul and Valerie Renaudin and Hyunwoong Kang and Soyoung Park and Jae Hong Lee and Chan Gook Park and Jisu Ha and Jaeseung Han and Changjun Park and Keunhye Kim and Yonghyun Lee and Seunghun Gye and Keumryeol Lee and Eunjee Kim and Jeongsik Choi and Yang-Seok Choi and Shilpa Talwar and Seong Yun Cho and Boaz Ben-Moshe and Alex Scherbakov and Leonid Antsfeld and Emilio Sansano-Sansano and Boris Chidlovskii and Nikolai Kronenwett and Silvia Prophet and Yael Landau and Revital Marbel and Lingxiang Zheng and Ao Peng and Zhichao Lin and Bang Wu and Chengqi Ma and Stefan Poslad and David R. Selviah and Wei Wu and Zixiang Ma and Wenchao Zhang and Dongyan Wei and Hong Yuan and Jun-Bang Jiang and Shao-Yung Huang and Jing-Wen Liu and Kuan-Wu Su and Jenq-Shiou Leu and Kazuki Nishiguchi and Walid Bousselham and Hideaki Uchiyama and Diego Thomas and Atsushi Shimada and Rin-Ichiro Taniguchi and Vicente Cortes and Tomas Lungenstrass and Imran Ashraf and Chanseok Lee and Muhammad Usman Ali and Yeongjun Im and Gunzung Kim and Jeongsook Eom and Soojung Hur and Yongwan Park and Miroslav Opiela and Adriano Moreira and Maria Joao Nicolau and Cristiano Pendao and Ivo Silva and Filipe Meneses and Antonio Costa and Jens Trogh and David Plets and Ying-Ren Chien and Tzu-Yu Chang and Shih-Hau Fang and Yu Tsao},
  title = {The IPIN 2019 Indoor Localisation Competition -Description and Results},
  journal = {IEEE Access},
  publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
  year = {2020},
  pages = {47p},
  url = {https://ieeexplore.ieee.org/document/9253514},
  doi = {10.1109/access.2020.3037221}
}
Perul J and Renaudin V (2020), "HEAD: smootH Estimation of wAlking Direction with a handheld device embedding inertial, GNSS, and magnetometer sensors", NAVIGATION. Vol. n/a(n/a), 14p.
Abstract: Abstract Pedestrian navigation with handheld sensors is still particularly complex. Pedestrian Dead Reckoning method is generally used, but the estimation of the walking direction remains problematic because the device's pointing direction does not always correspond to the walking direction. To overcome this difficulty, it is possible to use gait modeling based approaches. But, these methods suffer from sporadic erroneous estimates and their accumulation over time. The HEAD (smootH Estimation of wAlking Direction) filter uses WAISS and MAGYQ angular estimates as observations to correct the walking direction and to obtain more robust and smooth results. TDCP updates are applied to constrain the walking direction estimation error while pseudo-ranges directly update the position. HEAD is tested by 5 subjects over 21 indoor/outdoor acquisitions (between 720 m and 1.3 km). A 54% improvement is achieved thanks to the fusion in texting mode. The median obtained angular error is 5.5 in texting mode and 12 in pocket mode.
BibTeX:
@article{Perul,
  author = {Perul, Johan and Renaudin, Valerie},
  title = {HEAD: smootH Estimation of wAlking Direction with a handheld device embedding inertial, GNSS, and magnetometer sensors},
  journal = {NAVIGATION},
  year = {2020},
  volume = {n/a},
  number = {n/a},
  pages = {14p},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/navi.389},
  doi = {10.1002/navi.389}
}
Ponte Müller F, Munoz Diaz E, Perul J and Renaudin V (2020), "Urban Vulnerable Road User Localization using GNSS, Inertial Sensors and Ultra-Wideband Ranging", In 2020 IEEE Intelligent Vehicles Symposium. 20-23/10/2020, Las Vegas, USA, 7p.
Abstract: Over the last decade, the number of accidents involving Vulnerable Road Users (VRU), i.e. pedestrians, cyclists and motorbike drivers, has not decreased in the same way as accidents between passenger cars have. Cooperative systems based on Vehicle-to-X (V2X) communication make it possible to directly exchange information between VRUs and vehicles and to increase the overall situational awareness beyond the capabilities of on-board ranging sensors. To detect and avoid collisions, vehicles require up-to-date and precise information on the location and trajectory of VRUs. In this paper, we propose a VRU localization system based on Global Navigation Satellite System (GNSS), inertial sensors and ultra-wideband (UWB) round-trip-delay ranging technology. We present an exhaustive measurement campaign comprising pedestrians, cyclists and vehicles performed in an urban setting and show first results on the localization performance for a pedestrian crossing an intersection. In the experiments, the pedestrian inertial system supported by GNSS and UWB ranges is able to achieve 0.65m 1-position accuracy.
BibTeX:
@inproceedings{PonteMueller2020,
  author = {Ponte Müller, Fabian; Munoz Diaz, Estefania; Perul, Johan; Renaudin, Valerie.},
  title = {Urban Vulnerable Road User Localization using GNSS, Inertial Sensors and Ultra-Wideband Ranging},
  booktitle = {2020 IEEE Intelligent Vehicles Symposium. 20-23/10/2020, Las Vegas, USA},
  year = {2020},
  pages = {7p},
  url = {https://elib.dlr.de/134960/}
}
Ruotsalainen L, Renaudin V, Pei L, Piras M, Marais J, Cavalheri E and Kaasalainen S (2020), "Toward autonomous driving in arctic areas", IEEE Intelligent Transportation Systems Magazine, 15p. IEEE.
Abstract: This article provides an overview of the use of inertial and visual sensors and discusses their prospects in the Arctic navigation of autonomous vehicles. We also examine the fusion algorithms used thus far for integrating vehicle localization measurements as well as the map-matching (MM) algorithms relating position coordinates with road infrastructure. Our review reveals that conventional fusion and MM methods are not enough for navigation in challenging environments, like urban areas and Arctic environments. We also offer new results from testing inertial and optical sensors in vehicle positioning in snowy conditions. We find that the fusion of Global Navigation Satellite System (GNSS) and inertial navigation systems (INSs) does not provide the accuracy required for automated driving, and the use of optical sensors is challenged by snow covering the road markings. Although extensive further research is needed to solve these problems, the fusion of GNSS, INSs, and optical sensors seems to be the best option due to their complementary nature.
BibTeX:
@article{Ruotsalainen2020,
  author = {Ruotsalainen, Laura and Renaudin, Valerie and Pei, Ling and Piras, Marco and Marais, Juliette and Cavalheri, Emerson and Kaasalainen, Sanna},
  title = {Toward autonomous driving in arctic areas},
  journal = {IEEE Intelligent Transportation Systems Magazine},
  publisher = {IEEE},
  year = {2020},
  pages = {15p.},
  url = {https://ieeexplore.ieee.org/document/9115644},
  doi = {10.1109/MITS.2020.2994014}
}
Ragoin C, Renaudin V and Ortiz M (2020), "Precise positioning on smartphones: which implementation strategy to adopt?", In 4th GNSS Raw Measurements Taskforce Workshop, 12p.
BibTeX:
@inproceedings{Ragoin2020,
  author = {Ragoin, Celine and Renaudin, Valerie and Ortiz, Miguel},
  title = {Precise positioning on smartphones: which implementation strategy to adopt?},
  booktitle = {4th GNSS Raw Measurements Taskforce Workshop},
  year = {2020},
  pages = {12p.},
  url = {https://www.gsa.europa.eu/sites/default/files/expo/3.5_celine_ragoin_miguel_ortiz_-_uni_gustave_eiffel.pdf}
}
Koné Y, Zhu N, Renaudin V and Ortiz M (2020), "Machine Learning--Based Zero--Velocity Detection for Inertial Pedestrian Navigation", IEEE Sensors Journal, 11p. Institute of Electrical and Electronics Engineers -- IEEE.
Abstract: Zero velocity update is a common and efficient approach to bound the accumulated error growth for foot-mounted inertial navigation system. Thus a robust zero velocity detector (ZVD) for all kinds of locomotion is needed for high accuracy pedestrian navigation systems. In this paper, we investigate two machine learning-based ZVDs: Histogram-based Gradient Boosting (HGB) and Random Forest (RF), aiming at adapting to different motion types while reducing the computation costs compared to the deep learning-based detectors. A complete data preprocessing procedure, including a feature engineering study and data augmentation techniques, is proposed. A motion classifier based on HGB is used to distinguish ”single support” and ”double float” motions. This concept is different from the traditional locomotion classification (walking, running, stair climbing) since it merges similar motions into the same class. The proposed ZVDs are evaluated with inertial data collected by two subjects over a 1.8 km indoor/outdoor path with different motions and speeds. The results show that without huge training dataset, these two machine learning-based ZVDs achieve better performances (55 cm positioning accuracy) and lower computational costs than the two deep learning-based Long Short-Term Memory methods (1.21 m positioning accuracy).
BibTeX:
@article{Kone2020,
  author = {Koné, Yacouba and Zhu, Ni and Renaudin, Valérie and Ortiz, Miguel},
  title = {Machine Learning--Based Zero--Velocity Detection for Inertial Pedestrian Navigation},
  journal = {IEEE Sensors Journal},
  publisher = {Institute of Electrical and Electronics Engineers -- IEEE},
  year = {2020},
  pages = {11p},
  url = {https://ieeexplore.ieee.org/document/9107252},
  doi = {10.1109/JSEN.2020.2999863}
}
Dulery C, Ortiz M and Leblan X (2020), "EN 16803/ Référentiel Européen de géolocalisation pour certifier les solutions de mobilité", In 47ème Congrès ATEC ITS France, 9p.
Abstract: Le domaine de la géolocalisation s'est doté d'une méthodologie de référence indispensable pour évaluer et caractériser des terminaux GNSS destinés à la navigation terrestre. La série de normes EN16803 a pour objectif d'éclairer les choix des utilisateurs et de simplifier l'intégration des technologies satellitaires aux systèmes embarqués. Elle s'appuie sur une technique de métrologie instrumentale, identifiée sous le terme « Record & Replay » et offrant plusieurs avantages-clefs : - Restituer des environnements d'essais « Reproductibles » et « Représentatifs » du monde réel ; - Dissocier les erreurs de « Justesse » et de « Fidélité » pour enrichir les analyses ; - Etablir des scénarios de référence fiables pour « comparer les résultats de mesures ».
BibTeX:
@inproceedings{Dulery2020,
  author = {Dulery, Christelle and Ortiz, Miguel and Leblan, Xavier},
  title = {EN 16803/ Référentiel Européen de géolocalisation pour certifier les solutions de mobilité},
  booktitle = {47ème Congrès ATEC ITS France},
  year = {2020},
  pages = {9p},
  url = {https://guide-gnss.com/wp-content/uploads/2020/01/ATEC-ITS-Metrologie-GNSS-Referentiel-Europeen-de-geolocalisation-pour-certifier-les-solutions-de-Mobilite.pdf}
}
Renaudin V, Ortiz M and Ragoin C (2020), "Positionnement GNSS précis sur smartphone : une réalité proche ?", In Groupe de Travail GNSS et Positionnement de la CNIG, 13p.
Abstract: Groupe de Travail GNSS & Positionnement du CNIG (conseil national de l'information géographique).
BibTeX:
@inproceedings{RENAUDIN2020,
  author = {RENAUDIN, Valérie and ORTIZ, Miguel and RAGOIN, Céline},
  title = {Positionnement GNSS précis sur smartphone : une réalité proche ?},
  booktitle = {Groupe de Travail GNSS et Positionnement de la CNIG},
  year = {2020},
  pages = {13p},
  url = {http://cnig.gouv.fr/?page_id=12592}
}
Zhu N, Ortiz M and Renaudin V (2019), "Seamless Indoor--Outdoor Infrastructure--free Navigation for Pedestrians and Vehicles with GNSS--aided Foot--mounted IMU", In 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 8p. Institute of Electrical and Electronics Engineers -- IEEE.
Abstract: With the highly development of navigation techniques during the past decades, the demand for seamless indoor--outdoor navigation is growing from different application fields especially for the military or the first response emergency services. For military applications, one of the key performance requirements is the availability of the positioning solutions for all kinds of dynamics in different environments. Furthermore, due to the stealth requirement in some military actions, it is impossible for military vehicles or personnel to emit signals which enable to be detected by their opponents. This limitation prevents the use of infrastructure--based cooperative localization techniques. The research work of this paper aims at facing the following challenging issues: firstly, to design a positioning filter which is adaptive to the dynamic changes between walking and driving; secondly, to find an approach that correctly identifies the transition between outdoor and indoor with reduced latency; finally, to construct a loosely coupling GNSS/IMU scheme which takes into account the GNSS signal distortion in indoor and urban spaces. Under this context, we propose a complete indoor--outdoor infrastructure--free positioning prototype including a foot--mounted reference navigation system named Pedestrian Reference System (PERSY) and a Ublox High Sensitivity GNSS (HSGNSS) receiver (M8P). A loosely--coupled architecture between GNSS receiver and the PERSY is employed by using an indicator of horizontal position accuracy $$$backslash$textitPACCH provided by the GNSS Ublox M8P receiver. This indicator allows qualifying the position solutions delivered by the GNSS receiver as well as detecting the transition of indoor/outdoor, which helps the PERSY to update with absolute positions from GNSS. This positioning prototype can take advantage of both GNSS and PERSY so as to realize a seamless indoor--outdoor positioning for pedestrians and vehicles. The proposed system is evaluated in two scenarios over respectively 2.17 km and 2.68 km including indoor , outdoor and in--vehicle phases. The median horizontal position errors for the two scenarios are respectively 2.23 m and 1.93 m.
BibTeX:
@inproceedings{Zhu2019,
  author = {Zhu, Ni and Ortiz, Miguel and Renaudin, Valerie},
  title = {Seamless Indoor--Outdoor Infrastructure--free Navigation for Pedestrians and Vehicles with GNSS--aided Foot--mounted IMU},
  booktitle = {2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)},
  publisher = {Institute of Electrical and Electronics Engineers -- IEEE},
  year = {2019},
  pages = {8 p.},
  url = {https://ieeexplore.ieee.org/abstract/document/8911741/},
  doi = {10.1109/IPIN.2019.8911741}
}
Renaudin V, Ortiz M, Perul J and al (2019), "Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competition", IEEE ACCESS, pp.148594-148628. Institute of Electrical and Electronics Engineers -- IEEE.
Abstract: The Indoor Positioning and Indoor Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically. The objective of this competition is to establish a systematic evaluation methodology with rigorous metrics both for real--time (on--site) and post--processing (off--site) situations, in a realistic environment unfamiliar to the prototype developers. For the IPIN 2018 conference, this competition was held on September 22nd, 2018, in Atlantis, a large shopping mall in Nantes (France). Four competition tracks (two on--site and two off--site) were designed. They consisted of several 1 km routes traversing several floors of the mall. Along these paths, 180 points were topographically surveyed with a 10 cm accuracy, to serve as ground truth landmarks, combining theodolite measurements, differential global navigation satellite system (GNSS) and 3D scanner systems. 34 teams effectively competed. The accuracy score corresponds to the third quartile (75 th percentile) of an error metric that combines the horizontal positioning error and the floor detection. The best results for the on--site tracks showed an accuracy score of 11.70 m (Track 1) and 5.50 m (Track 2), while the best results for the off--site tracks showed an accuracy score of 0.90 m (Track 3) and 1.30 m (Track 4). These results showed that it is possible to obtain high accuracy indoor positioning solutions in large, realistic environments using wearable light--weight sensors without deploying any beacon. This paper describes the organization work of the tracks, analyzes the methodology used to quantify the results, reviews the lessons learned from the competition and discusses its future.
BibTeX:
@article{Renaudin2019b,
  author = {Renaudin, Valerie and Ortiz, Miguel and Perul, Johan and al, --},
  title = {Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competition},
  journal = {IEEE ACCESS},
  publisher = {Institute of Electrical and Electronics Engineers -- IEEE},
  year = {2019},
  pages = {148594 -- 148628},
  url = {https://ieeexplore.ieee.org/document/8852722/keywordskeywords},
  doi = {10.1109/ACCESS.2019.2944389}
}
Renaudin V and Ortiz M (2019), "Véhicules autonomes", In 59e congrès annuel du club EEA.
Abstract: Présentation d'actions IFSTTAR sur le déploiement des véhicules autonomes, aspects industrialisation, recherche et enseignement.
BibTeX:
@inproceedings{Renaudin2019,
  author = {Renaudin, Valérie and Ortiz, Miguel},
  title = {Véhicules autonomes},
  booktitle = {59e congrès annuel du club EEA},
  year = {2019},
  url = {https://clubeea2019.sciencesconf.org/}
}
Renaudin V (2019), "Indoor positioning: towards an infinite number of technologies?", In 10th Chinese Satellite Navigation Conference, 20p.
Abstract: Over the past 15 years, there has been an exponential growth of new technologies for indoor positioning and navigation. Unlike GNSS technology, which has become the leading solution for outdoor positioning, no technology has taken the lead indoors. With the price drop of radio beacons, we see a massive deployment of beacons' networks for positioning. Image processing is progressing fast thanks to machine learning techniques that improve the rendering of very low--cost cameras. More and more smart devices embed inertial sensors providing autonomous navigation options. These are only a few of the technologies deployed. Hybridizing technologies to find the best compromise between accuracy, cost and energy consumption is at the heart of ongoing development. The nature of sensors in the infrastructure or in smart devices, specific use cases requirements and privacy concerns about geolocated data are all features used to choose the right technologies to hybridize. Adopting a ubiquitous approach that combines dead reckoning and absolute positioning while recognizing the application and environmental context is certainly a strong trend in current developments and research. Given the great diversity of existing positioning systems and ways of presenting their performance, it seems almost impossible to provide a clear comparison of localization performance. The key to this comparison certainly lies in experimental comparative trials, in the same context and on identical scenarios. This approach started several years ago with international positioning competitions. This talk will review main indoor positioning technologies according to several comparison criteria. It will also exploit the results of last Indoor Positioning Indoor Navigation (IPIN) international competition that took place in a 9'000 m² shopping mall (Atlantis) in Nantes (France) where 49 teams competed.
BibTeX:
@inproceedings{Renaudin2019a,
  author = {Renaudin, Valérie},
  title = {Indoor positioning: towards an infinite number of technologies?},
  booktitle = {10th Chinese Satellite Navigation Conference},
  year = {2019},
  pages = {20p},
  url = {https://www.beidou.org/}
}
Perul J and Renaudin V (2019), "Fusion of Attitude and Statistical Walking Direction Estimations with Time--Difference Carrier Phase Velocity Update for Pedestrian Dead Reckoning Method", In 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019), pp. 367-377. WILEY.
Abstract: Pedestrian location in urban or indoor environments is particularly complex. Indeed, GNSS technology generally used for localization is no longer sufficient in these challenging environments. However, the presence of many sensors in consumer equipment like smartphones allows the implementation of different methods. PDR (Pedestrian Dead Reckoning) is a position estimation method using inertial and magnetic sensor data. It is based on the determination of two elements: the step length and the walking direction. This direction is difficult to estimate for handheld sensors because the orientation of the sensor is not always aligned with the walking direction. Methods based on the study of horizontal hand accelerations can overcome this difficulty, but performance on real scenarios is not sufficient. This article proposes a new method for estimating the walking direction and position based on an extended Kalman filter. For this purpose, the angular estimates from the WAISS and MAGYQ algorithms are merged to update the estimate of the walking direction. Phase measurements are used with TDCP updates to correct the velocity and correct the walking direction. 6 experiments carried out with three subjects over distances between 650 and 1300m in texting mode, in real and challenging conditions are conducted. The mean angular error obtained is 4.6° and the mean position error is 0.5% of the travelled distance
BibTeX:
@inproceedings{Perul2019,
  author = {Perul, Johan and Renaudin, Valérie},
  editor = {Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019)},
  title = {Fusion of Attitude and Statistical Walking Direction Estimations with Time--Difference Carrier Phase Velocity Update for Pedestrian Dead Reckoning Method},
  booktitle = {32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019)},
  publisher = {WILEY},
  year = {2019},
  pages = {367--377},
  url = {https://www.ion.org/publications/abstract.cfm?articleID=17035},
  doi = {10.33012/2019.17035}
}
Perul J and Renaudin V (2019), "Learning individual models to estimate the walking direction of mobile phone users", IEEE Sensors Journal. Vol.19, issue 24, 10p, IEEE.
Abstract: Pedestrian Dead Reckoning algorithms are com-- monly used to assist pedestrian navigation with handheld sensors. The estimation of the walking direction remains an important source of positioning error of mobile phone users since this direction may be different from the device's pointing direction. A better understanding of human walking gait has enabled to produce new algorithms to mitigate the impact of the way the device is held in hand. WAISS algorithm is one of them. It is based on the study of horizontal hand accelerations and their modeling using Gaussian Mixture Models (GMM). However, ongoing search for universal modeling of handheld device carrying mode defeats the varying nature of human gait. This paper investigates the impact of individual gait characteristics and their modeling to improve the estimation of the walking direction. Different models are learned for curved and straight lines and varying GMM are proposed to account for inter--individual gait variations. This results in a reduced walking direction error with a 8.1? mean error to the 90th percentile computed for 3 subjects over a 1.5 km indoor/outdoor walk.
BibTeX:
@article{Perul2019a,
  author = {Perul, Johan and Renaudin, Valérie},
  title = {Learning individual models to estimate the walking direction of mobile phone users},
  journal = {IEEE Sensors Journal},
  publisher = {IEEE},
  year = {2019},
  volume = {10 p},
  number = {(10 p)},
  url = {https://ieeexplore.ieee.org/document/8827533},
  doi = {10.1109/JSEN.2019.2940138}
}
Coiret A, Vandanjon PO, Deljanin E, Ortiz M and Lorino T (2019), "Management of road speed sectioning to lower vehicle energy consumption", In TIS Roma 2019, AIIT 2nd International Congress on Transport Infrastructure and Systems in a changing world, 8p. Elsevier.
Abstract: Efforts to limit climate change should concern the transportation sector which is responsible for roughly a quarter of greenhouse gas emissions. Aside from vehicle's technical progress and driver eco-driving awareness, road infrastructure has a role to play in this environmental aim. At the project stage, the design of roads can avoid energy losses linked to marked ramps, but afterwards, during the use phase, road management can be a lever too. In this use phase framework, our paper is focused on energy saving that can be achieved by managing speed sectioning. The key point is to ensure consistency between vehicle dynamics, road longitudinal profile and speed policy. Indeed, eco-driving could be impeded if a limiting speed sign is encountered on a steep slope or in a sharp turn. In such a situation the speed sign will be qualified as misplaced. Mechanical braking has then to be used instead of simple natural deceleration. In 2018 the French government lowered authorized speed on secondary roads, from 90 to 80 km/h, with road safety as the primary motivation. In order to assess energy impact of speed--sectioning for these two speed limits, experiments have been carried out in four experimental sites. Furthermore criterion and dissipated energy computation have been developed. The developed energy computation yields to determine the expected fuel economy for the entire traffic over a day on a selected route or network. As a result, over consumption for a misplaced speed sign can reach up to 40 liters of fuel per day with an approaching speed of 80 km/h and 50 liters of fuel per day with an approaching speed of 90 km/h according to traffic data. Significant energy savings could therefore be achieved by sign placement optimization.
BibTeX:
@inproceedings{Coiret2019,
  author = {Coiret, Alex and Vandanjon, Pierre Olivier and Deljanin, Emir and Ortiz, Miguel and Lorino, Tristan},
  title = {Management of road speed sectioning to lower vehicle energy consumption},
  booktitle = {TIS Roma 2019, AIIT 2nd International Congress on Transport Infrastructure and Systems in a changing world},
  publisher = {Elsevier},
  year = {2019},
  pages = {8p},
  url = {https://www.sciencedirect.com/science/article/pii/S2352146520301551},
  doi = {10.1016/j.trpro.2020.02.105}
}
Ortiz M, Perul J, Torres-Sospedra J and Renaudin V (2019), "Datasets and Supporting Materials for the IPIN 2018 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site)", May, 2019.
Abstract: This package contains the datasets and supplementary materials used in the IPIN 2018 Competition (Nantes, France).
BibTeX:
@dataset{Ortiz2019,
  author = {Ortiz, Miguel and Perul, Johan and Torres-Sospedra, Joaquin and Renaudin, Valérie},
  title = {Datasets and Supporting Materials for the IPIN 2018 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site)},
  year = {2019},
  url = {https://zenodo.org/record/3228012},
  doi = {10.5281/ZENODO.3228012}
}
Grenier A and Renaudin V (2019), "Efficient Use of SSR RTCM Streams For Real-Time Precise Point Positioning on Smartphones", In 2019 16th Workshop on Positioning, Navigation and Communications (WPNC). Bremen, Germany, 6p. IEEE.
Abstract: Since the availability of GNSS raw measurements with Google Nougat API in 2016, research has been assessing smartphone performances and GNSS data's quality. The objective is to achieve precise positioning and to assess its quality. With the growing Internet of Things (IoT), embedded sensors spread everywhere for acquiring, assessing and monitoring the environment, for which low-cost and precise positioning is essential. Low-cost does not only relate to the financial cost of the GNSS receiver but also to other costs like data consumption, battery consumption and computation cost. Using the Google API and the new generation of smartphones, these costs can be targeted to produce smarter, more efficient, and optimized positioning solutions for being implemented on other IoT devices. This paper presents research on Real-Time Precise Point Positioning (PPP-RTK) application development in Android. Analysis of needed RTCM (Radio Technical Commission for Maritimes Services) streams is given along with the assessment of their benefits for efficient positioning. Focus is made on evaluating the cost of precise products in terms of internet data consumption.
BibTeX:
@inproceedings{Grenier2019a,
  author = {Grenier, Antoine and Renaudin, Valerie},
  title = {Efficient Use of SSR RTCM Streams For Real-Time Precise Point Positioning on Smartphones},
  booktitle = {2019 16th Workshop on Positioning, Navigation and Communications (WPNC)},
  publisher = {IEEE},
  year = {2019},
  pages = {6p},
  url = {https://ieeexplore.ieee.org/abstract/document/8970179},
  doi = {10.1109/WPNC47567.2019.8970179}
}
Antigny N, Uchiyama H, Servières M, Renaudin V, Thomas D and Taniguchi R-i (2019), "Solving Monocular Visual Odometry Scale Factor with Adaptive Step Length Estimates for Pedestrians Using Handheld Devices", sensors. Vol. 19 (953), 18p.
Abstract: The urban environments represent challenging areas for handheld device pose estimation (i.e., 3D position and 3D orientation) in large displacements. It is even more challenging with low-cost sensors and computational resources that are available in pedestrian mobile devices (i.e., monocular camera and Inertial Measurement Unit). To address these challenges, we propose a continuous pose estimation based on monocular Visual Odometry. To solve the scale ambiguity and suppress the scale drift, an adaptive pedestrian step lengths estimation is used for the displacements on the horizontal plane. To complete the estimation, a handheld equipment height model, with respect to the Digital Terrain Model contained in Geographical Information Systems, is used for the displacement on the vertical axis. In addition, an accurate pose estimation based on the recognition of known objects is punctually used to correct the pose estimate and reset the monocular Visual Odometry. To validate the benefit of our framework, experimental data have been collected on a 0.7 km pedestrian path in an urban environment for various people. Thus, the proposed solution allows to achieve a positioning error of 1.6–7.5% of the walked distance, and confirms the benefit of the use of an adaptive step length compared to the use of a fixed-step length.
BibTeX:
@article{Antigny2019,
  author = {Antigny, Nicolas and Uchiyama, Hideaki and Servières, Myriam and Renaudin, Valérie and Thomas, Diego and Taniguchi, Rin-ichiro},
  title = {Solving Monocular Visual Odometry Scale Factor with Adaptive Step Length Estimates for Pedestrians Using Handheld Devices},
  journal = {sensors},
  year = {2019},
  volume = {19},
  number = {953},
  pages = {18p},
  url = {https://www.mdpi.com/1424-8220/19/4/953},
  doi = {10.3390/s19040953}
}
Renaudin V (2018), "Préparation de la compétition internationale de localisation intérieure IPIN : cartographie de parcours piétons", In Forum de l'Association Française de Topographie, 5p.
Abstract: Présentation du travail de préparation de la compétition internationale de géolocalisation IPIN 2018
BibTeX:
@inproceedings{Renaudin2018c,
  author = {Renaudin, Valérie},
  title = {Préparation de la compétition internationale de localisation intérieure IPIN : cartographie de parcours piétons},
  booktitle = {Forum de l'Association Française de Topographie},
  year = {2018},
  url = {https://hal.archives-ouvertes.fr/hal-01896630/}
}
Renaudin V (2018), "Integrating human dimension in the development of pedestrian navigation", In ITSNT 2018, International Technical Symposium on Navigation and Timing, 34p.
Abstract: L'apparition de nouveaux objets connectés, portés au poignet, sur des bijoux ou des lunettes, offre de nouvelles opportunités d'améliorer la mobilité des personnes. Parallèlement, la complexité des mouvements humains pose de nouveaux défis dans le développement d'algorithmes de positionnement et de navigation. Trouver la bonne stratégie pour fusionner les signaux disponibles afin d'estimer les coordonnées de façon précise et fiable partout peut être complexe. Cet exposé présente l'état actuel et les tendances en navigation piétonnière, avec un accent sur les approches de navigation à l'estime. Il traite de l'intégration des caractéristiques de la démarche humaine afin d'améliorer les modèles d'estimation du déplacement. Une nouvelle utilisation des données numériques urbaines et des mesures de signaux radio urbains dégradés pour améliorer l'estimation de l'emplacement des piétons dans le filtre d'hybridation est également présentée.
BibTeX:
@inproceedings{Renaudin2018d,
  author = {Renaudin, Valérie},
  title = {Integrating human dimension in the development of pedestrian navigation},
  booktitle = {ITSNT 2018, International Technical Symposium on Navigation and Timing},
  year = {2018},
  pages = {34p},
  url = {http://itsnt.recherche.enac.fr/index.php/previous-editions/5th-edition-itsnt-2018}
}
Antigny N, Servières M and Renaudin V (2018), "Fusion of 3D GIS, Vision, Inertial and Magnetic Data for Improved Urban Pedestrian Navigation and Augmented Reality Applications", Navigation, Journal of the Institute of Navigation., September, 2018. Vol.65, pp. 431-447.
BibTeX:
@article{Antigny2018a,
  author = {Antigny, Nicolas and Servières, Myriam and Renaudin, Valérie},
  title = {Fusion of 3D GIS, Vision, Inertial and Magnetic Data for Improved Urban Pedestrian Navigation and Augmented Reality Applications},
  journal = {Navigation, Journal of the Institute of Navigation},
  year = {2018},
  volume = {sept},
  number = {65},
  pages = {pp. 431-447},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/navi.254},
  doi = {10.1002/navi.254}
}
Renaudin V, Moreau N, Billey A, Lamblin A, Vos J, Perul J and Ortiz M (2018), "Préparation de la compétition internationale de localisation intérieure IPIN : cartographie de parcours piétons", XYZ. Vol. 155, pp. 17-21.
Abstract: Depuis quelques années des compétitions internationales destinées à comparer les technologies de localisation à l'intérieur des bâtiments sont organisées. Face à la diversification de ces technologies, elles permettent de fixer une cadre unique d'évaluation des performances de localisation en temps réel ou différé. Un levé topographique d'envergure qui combine mesures au théodolite, par GNSS différentiel et scanner 3D a permis de cartographier à 10 cm près les 180 cibles réparties dans le centre commercial Atlantis à Nantes. Ces cibles définissent les parcours sur lesquels les compétiteurs du congrès international IPIN s'affronteront le 22 septembre. Ce projet a été réalisé par quatre étudiants de l'ESGT sous la direction du laboratoire GEOLOC de l'IFSTTAR et avec le soutien de la société Viametris.
BibTeX:
@article{Renaudin2018,
  author = {Renaudin, Valérie and Moreau, Nicolas and Billey, Antoine and Lamblin, Alexandre and Vos, Jasper and Perul, Johan and Ortiz, Miguel},
  title = {Préparation de la compétition internationale de localisation intérieure IPIN : cartographie de parcours piétons},
  journal = {XYZ},
  year = {2018},
  volume = {155},
  pages = {17--21},
  url = {http://www.aftopo.org/FR/REVUES/revue-4-161.html}
}
Renaudin V (2018), "ULISS and PERSY: Research Equipment for the positioning and navigation of travelers"
Abstract: ULISS is an innovative hardware developed at GEOLOC laboratory for upper body part mounted based personal navigation research. Raw tri-axis inertial, barometric and magnetic signals at 200 Hz and raw GNSS measurements at 5Hz. PERSY is a foot mounted hardware & software developed at GEOLOC laboratory. Raw tri-axis inertial and magnetic signals at 160 Hz and raw GNSS measurements at 5Hz.
BibTeX:
@article{Renaudin2018a,
  author = {Renaudin, Valerie},
  title = {ULISS and PERSY: Research Equipment for the positioning and navigation of travelers},
  year = {2018},
  url = {https://www.geoloc.ifsttar.fr/fileadmin/redaction/1_institut/1.20_sites_integres/COSYS/GEOLOC/plaquette_equipement/UlissPersy-plaquette-en.pdf}
}
Renaudin V (2018), "Human dimensions of navigation", In The Israel Navigation Workshop and Exhibition INWE18. Hertzliya, Israel (January)
Abstract: Itzhack Bar Itzhack invited pleanry lecture at the The Israel Navigation Workshop and Exhibition INWE18
BibTeX:
@inproceedings{Renaudin2018b,
  author = {Renaudin, Valerie},
  title = {Human dimensions of navigation},
  booktitle = {The Israel Navigation Workshop and Exhibition INWE18},
  year = {2018},
  number = {January},
  url = {https://hal.archives-ouvertes.fr/hal-01901990/}
}
Perul J and Renaudin V (2018), "Building individual inertial signals models to estimate PDR walking direction with smartphone sensors", In 2018 International Conference on Indoor Positioning and Indoor Navigation. (September), pp. 24-27.
Abstract: Inertial and magnetic sensors based PDR approaches are particularly interesting for pedestrian location since they don't require any specific infrastructure. Estimating the walking direction, which is essential for PDR strategy, remains difficult with handheld sensors. WAISS is a new method that integrates hand movement and is independent of the misalignment between the walking direction and the pointing direction that estimates the walking direction. It uses statistical models of the hand accelerations in the horizontal plane. The paper studies how to create the best possible models. Among the features under study are the number of strides used to learn the models, different acquisition contexts and walking directions. Finally, the complexity of models needed for a given person is discussed. 100 strides over curved and straight line walks combined with a bi-modal Gaussian Mixture Model gives the best walking direction estimate with a 15° mean error over a 325 m indoor/outdoor walk performed by four subjects.
BibTeX:
@inproceedings{Perul2018,
  author = {Perul, Johan and Renaudin, Valerie},
  title = {Building individual inertial signals models to estimate PDR walking direction with smartphone sensors},
  booktitle = {2018 International Conference on Indoor Positioning and Indoor Navigation},
  year = {2018},
  number = {September},
  pages = {24--27},
  url = {https://ieeexplore.ieee.org/abstract/document/8533722/},
  doi = {10.1109/IPIN.2018.8533722}
}
Antigny N, Servières M and Renaudin V (2018), "Continuous Pose Estimation for Urban Pedestrian Applications on Hand-held Mobile Device", In 2018 International Conference on Indoor Positioning and Indoor Navigation. Nantes, France (September), 8p.
Abstract: To support pedestrian navigation in urban and indoor spaces, an accurate pose estimate (i.e. 3D position and 3D orientation) of an equipment held in hand constitutes an essential point in the development of mobility assistance tools (e.g. Augmented Reality applications). On the assumption that the pedestrian is only equipped with general public devices, the pose estimation is restricted to the use of low-cost sensors embedded in the latter (i.e. an Inertial and Magnetic Measurement Unit and a monocular camera). In addition, urban and indoor spaces, comprising closely-spaced buildings and ferromagnetic elements, constitute challenging areas for sensor pose estimation during large pedestrian displacements. However, the recent development and provision of 3D Geographical Information System content by cities constitutes a wealth of data usable for pose estimation. To address these challenges, we propose an autonomous sensor fusion framework for pedestrian hand-held device pose estimation in urban and indoor spaces. The proposed solution integrates inertial and magnetic-based attitude estimation, monocular Visual Odometry with pedestrian motion estimation for scale estimation and known 3D geospatial object recognition based absolute pose estimation. Firstly, this allows to continuously estimate a qualified pose of the device held in hand. Secondly, an absolute pose estimate enables to update and to improve the positioning accuracy. To assess the proposed solution, experimental data has been collected, for four different people, on a 0.5 km pedestrian walk in an urban space with sparse known objects and indoors passages. According to the performance evaluation, the sensors fusion process enhanced the pedestrian localization in areas where conventional hand-held systems were not accurate or available
BibTeX:
@inproceedings{Antigny2018,
  author = {Antigny, Nicolas and Servières, Myriam and Renaudin, Valérie},
  editor = {IEEE},
  title = {Continuous Pose Estimation for Urban Pedestrian Applications on Hand-held Mobile Device},
  booktitle = {2018 International Conference on Indoor Positioning and Indoor Navigation},
  year = {2018},
  number = {September},
  pages = {8p},
  url = {https://hal.archives-ouvertes.fr/hal-02018726/}
}
Abid M, Renaudin V, Robert T, Aoustin Y and Carpentier EL (2018), "A Simulation-based Approach to Generate Walking Gait Accelerations for Pedestrian Navigation Solutions", In 2018 International Conference on Indoor Positioning and Indoor Navigation. Nantes, France, 9p.
BibTeX:
@inproceedings{Abid2018,
  author = {Abid, Mahdi and Renaudin, Valérie and Robert, Thomas and Aoustin, Yannick and Carpentier, Eric Le},
  title = {A Simulation-based Approach to Generate Walking Gait Accelerations for Pedestrian Navigation Solutions},
  booktitle = {2018 International Conference on Indoor Positioning and Indoor Navigation},
  year = {2018},
  pages = {9p},
  url = {https://hal.archives-ouvertes.fr/hal-01997361/},
  doi = {10.1109/IPIN.2018.8533858}
}
Combettes C and Renaudin V (2017), "Walking direction estimation based on statistical modeling of human gait features with handheld MIMU", IEEE/ASME Transactions on Mechatronics., December, 2017. Vol. 22(6), pp. 2502-2511.
Abstract: textcopyright 1996-2012 IEEE. Contrary to Global Navigation Satellite System or Wi-Fi based navigation, pedestrian dead reckoning (PDR) method with handheld inertial and magnetic sensors gives the opportunity to achieve indoor/outdoor ubiquitous pedestrian localization. A remaining PDR critical issue is the estimation of the walking direction. Existing methods are principally searching for the energy main axis, but they do not consider the variability of hand movements introducing robustness issues. A new method, based on statistical models and likelihood maximization adjusted to the person and his/her activity, is proposed in this paper. Performance is assessed with experiments in a motion capture room and a shopping mall. The new statistical approach gives globally better results than state of the art methods. A 1.4° to 15.3° error on the walking direction estimates is found over several '1-km walk' tests indoors.
BibTeX:
@article{Combettes2017,
  author = {Combettes, Christophe and Renaudin, Valerie},
  title = {Walking direction estimation based on statistical modeling of human gait features with handheld MIMU},
  journal = {IEEE/ASME Transactions on Mechatronics},
  year = {2017},
  volume = {22},
  number = {6},
  pages = {2502--2511},
  url = {http://ieeexplore.ieee.org/document/8078215/},
  doi = {10.1109/TMECH.2017.2765005}
}
Abid M, Renaudin V, Aoustin Y, Le-Carpentier E and Robert T (2017), "Walking Gait Step Length Asymmetry Induced by Handheld Device", IEEE Transactions on Neural Systems and Rehabilitation Engineering., November, 2017. Vol. 25(11), pp. 2075-2083.
Abstract: The modeling and feature extraction of human gait motion are crucial in biomechanics studies, human localization and robotics applications. Recent studies in pedestrian navigation aim at extracting gait features based on the data of low-cost sensors embedded in handheld devices such as smartphones. The general assumption in Pedestrian Dead Reckoning (PDR) strategy for navigation application is that the presence of a device in hand does not impact the gait symmetry and that all steps are identical. This hypothesis, which is used to estimate the traveled distance, is investigated in this paper with an experimental study. Ten healthy volunteers participated in motion lab tests with a 0.190 kg device in hand. Several walking trials with different device carrying modes and several gait speeds were performed. For a fixed walking speed, it is shown that the steps differ in their duration when holding a mass equivalent to a smartphone mass, which invalidates classical symmetry hypothesis in PDR step length modeling. It is also shown that this hypothesis can lead to a 2.5 to 6.3% error on the PDR estimated traveled distance for the different walking trials.
BibTeX:
@article{Abid2017,
  author = {Abid, Mahdi and Renaudin, Valerie and Aoustin, Yannick and Le-Carpentier, Eric and Robert, Thomas},
  title = {Walking Gait Step Length Asymmetry Induced by Handheld Device},
  journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  year = {2017},
  volume = {25},
  number = {11},
  pages = {2075--2083},
  url = {http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=medp&NEWS=N&AN=28541210 https://ieeexplore.ieee.org/document/7931687/},
  doi = {10.1109/TNSRE.2017.2705285}
}
Antigny N, Servieres M and Renaudin V (2017), "[POSTER] An Inertial, Magnetic and Vision Based Trusted Pose Estimation for AR and 3D Data Qualification on Long Urban Pedestrian Displacements", In 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)., October, 2017., pp. 168-169. IEEE.
Abstract: In the context of pedestrian navigation, urban environment constitutes a challenging area for both localization and Augmented Reality (AR). In order to display 3D Geographic Information System (GIS) content in AR and to qualify them, we propose to fuse the pose estimated using vision thanks to a precisely known 3D urban furniture model with rotation estimated from inertial and magnetic measurements. An acquisition conducted in urban environment on a long pedestrian path permits to validate the contribution of sensors fusion and allows to qualify the pose estimation needed for AR 3D GIS content characterization.
BibTeX:
@inproceedings{Antigny2017a,
  author = {Antigny, Nicolas and Servieres, Myriam and Renaudin, Valerie},
  title = {[POSTER] An Inertial, Magnetic and Vision Based Trusted Pose Estimation for AR and 3D Data Qualification on Long Urban Pedestrian Displacements},
  booktitle = {2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)},
  publisher = {IEEE},
  year = {2017},
  pages = {168--169},
  url = {http://ieeexplore.ieee.org/document/8088474/},
  doi = {10.1109/ISMAR-Adjunct.2017.57}
}
Abid M, Renaudin V, Robert T, Aoustin Y and Le-Carpentier E (2017), "A human-like walking gait simulator for estimation of selected gait parameters", In 2017 14th Workshop on Positioning, Navigation and Communications (WPNC). Bremen, October, 2017, pp. 1-6. IEEE.
Abstract: textcopyright 2017 IEEE. Pedestrian dead reckoning (PDR) is one of the most employed strategies to process inertial signals collected with a handheld device for autonomous indoor positioning. This strategy is based on step length models that usually combine step characteristics with some physiological parameters. These models are calibrated with experimental data for each user. However, many physiological conditions are affecting the walking gait even for steady walking. Therefore, frequent calibration is needed to cope with walking pattern variations. Moreover, PDR models are not adapted to high walking velocities and to the specific walking patterns of some populations like elderly people and pathological cases. In light of these limitations, the modeling of human walking, which considers the induced arm swinging behavior, is needed for improving self-contained inertial indoor navigation. In this paper, a human-like walking model is developed in order to represent and study the correlations between the hand acceleration and gait characteristics. Experimental data were collected from motion capture experiments on one healthy subject in order to validate the model. Results show that the model fitted to the test subject reproduces the walking features found in experiments, as well as the same tendencies in function of the walking velocity.
BibTeX:
@inproceedings{Abid2017a,
  author = {Abid, Mahdi and Renaudin, Valerie and Robert, Thomas and Aoustin, Yannick and Le-Carpentier, Eric},
  title = {A human-like walking gait simulator for estimation of selected gait parameters},
  booktitle = {2017 14th Workshop on Positioning, Navigation and Communications (WPNC)},
  publisher = {IEEE},
  year = {2017},
  pages = {1--6},
  url = {http://ieeexplore.ieee.org/document/8250063/},
  doi = {10.1109/WPNC.2017.8250063}
}
Taia-Alaoui F, Renaudin V and Betaille D (2017), "Points of interest detection for map-aided PDR in combined outdoor-indoor spaces", In 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN). Sapporo, Japan, September, 2017. (September), pp. 1-8. IEEE.
BibTeX:
@inproceedings{Alaoui2017,
  author = {Taia-Alaoui, Fadoua and Renaudin, Valerie and Betaille, David},
  title = {Points of interest detection for map-aided PDR in combined outdoor-indoor spaces},
  booktitle = {2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN)},
  publisher = {IEEE},
  year = {2017},
  number = {September},
  pages = {1--8},
  url = {http://ieeexplore.ieee.org/document/8115886/},
  doi = {10.1109/IPIN.2017.8115886}
}
Le Scornec J, Ortiz M and Renaudin V (2017), "Foot-mounted pedestrian navigation reference with tightly coupled GNSS carrier phases, inertial and magnetic data", In 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN). Sapporo, Japan, September, 2017. (September), pp. 1-8. IEEE.
BibTeX:
@inproceedings{LeScornec2017,
  author = {Le Scornec, Julien and Ortiz, Miguel and Renaudin, Valerie},
  title = {Foot-mounted pedestrian navigation reference with tightly coupled GNSS carrier phases, inertial and magnetic data},
  booktitle = {2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN)},
  publisher = {IEEE},
  year = {2017},
  number = {September},
  pages = {1--8},
  url = {http://ieeexplore.ieee.org/document/8115882/},
  doi = {10.1109/IPIN.2017.8115882}
}
Antigny N, Servieres M and Renaudin V (2017), "Pedestrian track estimation with handheld monocular camera and inertial-magnetic sensor for urban augmented reality", In 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN). Sapporo, Japan, September, 2017. (September), pp. 1-8. IEEE.
BibTeX:
@inproceedings{Antigny2017,
  author = {Antigny, Nicolas and Servieres, Myriam and Renaudin, Valerie},
  title = {Pedestrian track estimation with handheld monocular camera and inertial-magnetic sensor for urban augmented reality},
  booktitle = {2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN)},
  publisher = {IEEE},
  year = {2017},
  number = {September},
  pages = {1--8},
  url = {http://ieeexplore.ieee.org/document/8115934/},
  doi = {10.1109/IPIN.2017.8115934}
}
Inderst F, Pascucci F and Renaudin V (2017), "PDR and GPS trajectory parts matching for an improved self-contained personal navigation solution with handheld device", In 2017 European Navigation Conference (ENC). Lausanne, Switzerland, May, 2017, pp. 100-107. IEEE.
Abstract: The evolution of smartphones and their embedded sensors motivates research toward the development of handheld device based navigation solutions especially for harsh environments. In this context, Pedestrian Dead Reckoning is usually adopted to compute the pedestrian's trajectory. Step/stride lengths and walking directions are combined in a recursive process. Unfortunately the estimated path suffers from drifting errors due to the sensors' nature and the motion complexity. To reduce this error, map matching strategies are studied and several solutions are proposed in the literature. In this work a Matching Filter is proposed to mitigate the drifting errors. The Matching Filter is a nest filter based on an Extended Kalman Filter and a Complementary filter. The key idea is to match the PDR trajectory with the standalone GPS trajectory during opportune phases in order to estimate a global heading and scale factor errors on the PDR path. The proposed strategy is tested with a 1km walk in a shopping center. A 75% improvement is found as compared to the PDR only trajectory.
BibTeX:
@inproceedings{Inderst2017,
  author = {Inderst, Federica and Pascucci, Federica and Renaudin, Valerie},
  title = {PDR and GPS trajectory parts matching for an improved self-contained personal navigation solution with handheld device},
  booktitle = {2017 European Navigation Conference (ENC)},
  publisher = {IEEE},
  year = {2017},
  pages = {100--107},
  url = {http://ieeexplore.ieee.org/document/7954198/},
  doi = {10.1109/EURONAV.2017.7954198}
}
Taia-Alaoui F, Betaille D and Renaudin V (2017), "Pedestrian dead reckoning navigation with the help of A* -based routing graphs in large unconstrained spaces", Wireless Communications and Mobile Computing. Vol. 2017, pp. 1-10.
Abstract: textlessptextgreater An textlessmath id="M2"textgreater textlessmrowtextgreater textlessmsuptextgreater textlessmrowtextgreater textlessmi mathvariant="normal"textgreaterAtextless/mitextgreater textless/mrowtextgreater textlessmrowtextgreater textlessmotextgreater?textless/motextgreater textless/mrowtextgreater textless/msuptextgreater textless/mrowtextgreater textless/mathtextgreater -based routing graph is proposed to assist PDR indoor and outdoor navigation with handheld devices. Measurements are provided by inertial and magnetic sensors together with a GNSS receiver. The novelty of this work lies in providing a realistic motion support that mitigates the absence of obstacles and enables the calibration of the PDR model even in large spaces where GNSS signal is unavailable. This motion support is exploited for both predicting positions and updating them using a particle filter. The navigation network is used to correct for the gyro drift, to adjust the step length model and to assess heading misalignment between the pedestrian's walking direction and the pointing direction of the handheld device. Several datasets have been tested and results show that the proposed model ensures a seamless transition between outdoor and indoor environments and improves the positioning accuracy. The drift is almost cancelled thanks to heading correction in contrast with a drift of 8% for the nonaided PDR approach. The mean error of filtered positions ranges from 3 to 5?m. textless/ptextgreater
BibTeX:
@article{Alaoui2017a,
  author = {Taia-Alaoui, Fadoua and Betaille, David and Renaudin, Valerie},
  title = {Pedestrian dead reckoning navigation with the help of A* -based routing graphs in large unconstrained spaces},
  journal = {Wireless Communications and Mobile Computing},
  year = {2017},
  volume = {2017},
  pages = {1--10},
  url = {https://www.hindawi.com/journals/wcmc/2017/7951346/},
  doi = {10.1155/2017/7951346}
}
Renaudin V and Ortiz M (2017), "Procédé de sélection d'algorithmes de détermination de la trajectoire, programme et dispositifs pour sa mise en oeuvre". Patent at: IFSTTAR.
Abstract: Un système de mesure (10) comprenant un accéléromètre (33) et un gyromètre (34) est configuré pour être fixé de façon détachable à une pluralité de supports (120). Un élément de guidage (122) prévu sur chaque support (120) comprend un ensemble de reliefs (123, 123') qui est différent pour chaque support (120). Dans un exemple, le procédé comprend une étape de détection comprenant le fait de détecter un mouvement comprenant une rotation du système de mesure par rapport au support qui est définie par l'élément de guidage (122), et de détecter la venue en contact, durant la rotation, de l'élément de coopération (111) avec l'ensemble de reliefs (123, 123'), et une étape de sélection comprenant le fait de sélectionner l'algorithme de détermination de trajectoire en fonction de l'ensemble de reliefs (123, 123') avec lequel l'élément de coopération (111) est venu en contact.
BibTeX:
@patent{Renaudin2017a,
  author = {Renaudin, Vale?rie and Ortiz, Miguel},
  title = {Procédé de sélection d'algorithmes de détermination de la trajectoire, programme et dispositifs pour sa mise en oeuvre},
  school = {IFSTTAR},
  year = {2017},
  url = {https://bases-brevets.inpi.fr/fr/document/FR3071052.html}
}
Renaudin V and Combettes C (2017), "Procédé de détermination de la trajectoire d'un objet mobile, programme et dispositif aptes a la mise en oeuvre de ce procédé". Patent at: IFSTTAR. INPI.
Abstract: Un procédé de détermination d'une trajectoire d'un objet mobile comprenant l'acquisition d'un vecteur accélération (ab) et d'un vecteur vitesse angulaire (?b) de l'objet mobile, d'un vecteur champ magnétique local (Bb) au niveau de l'objet mobile, et d'une phase ((Fi) d'un signal (56) émis par un système mondial de navigation par satellite, et une étape de détermination d'un état de position de l'objet mobile à l'aide d'un filtre de Kalman étendu. Un état (X) du filtre de Kalman étendu comprend un vecteur vitesse instantanée (v) et un vecteur vitesse moyenne (v) de l'objet mobile et un décalage (cdGPS ?dT/?t) entre l'horloge du récepteur satellitaire et le temps du système mondial de navigation par satellite. Le vecteur vitesse moyenne (v) est une moyenne des vecteurs vitesse instantanée (v) de au moins N = fIMU/fGNSS états précédents du filtre de Kalman étendu.
BibTeX:
@patent{Renaudin2017,
  author = {Renaudin, Vale?rie and Combettes, Christophe},
  title = {Procédé de détermination de la trajectoire d'un objet mobile, programme et dispositif aptes a la mise en oeuvre de ce procédé},
  publisher = {INPI},
  school = {IFSTTAR},
  year = {2017},
  url = {https://bases-brevets.inpi.fr/fr/document/FR3070515.html?p=5&s=1568123320920&cHash=e061b920eab560893f9c343a015dc0d0}
}
Ortiz M, De Sousa M and Renaudin V (2017), "A New PDR Navigation Device for Challenging Urban Environments", Journal of Sensors. Vol. 2017, pp. 1-11.
Abstract: The motivations, the design, and some applications of the new Pedestrian Dead Reckoning (PDR) navigation device, ULISS (Ubiquitous Localization with Inertial Sensors and Satellites), are presented in this paper. It is an original device conceived to follow the European recommendation of privacy by design to protect location data which opens new research toward self-contained pedestrian navigation approaches. Its application is presented with an enhanced PDR algorithm to estimate pedestrian's footpaths in an autonomous manner irrespective of the handheld device carrying mode: texting or swinging. An analysis of real-time coding issues toward a demonstrator is also conducted. Indoor experiments, conducted with 3 persons, give a 5.8% mean positioning error over the 3 km travelled distances.
BibTeX:
@article{Ortiz2017,
  author = {Ortiz, Miguel and De Sousa, Mathieu and Renaudin, Valerie},
  title = {A New PDR Navigation Device for Challenging Urban Environments},
  journal = {Journal of Sensors},
  year = {2017},
  volume = {2017},
  pages = {1--11},
  url = {https://www.hindawi.com/journals/js/2017/4080479/},
  doi = {10.1155/2017/4080479}
}
Taia Alaoui F, Betaille D and Renaudin V (2016), "A multi-hypothesis particle filtering approach for pedestrian dead reckoning", In International Conference on Indoor Positioning and Indoor Navigation (IPIN). Madrid, Spain, October, 2016, pp. 1-8.
BibTeX:
@inproceedings{Alaoui2016,
  author = {Taia Alaoui, Fadoua and Betaille, David and Renaudin, Valerie},
  title = {A multi-hypothesis particle filtering approach for pedestrian dead reckoning},
  booktitle = {International Conference on Indoor Positioning and Indoor Navigation (IPIN)},
  year = {2016},
  pages = {1--8},
  doi = {10.1109/IPIN.2016.7743614}
}
Renaudin V, Dommes A and Guilbot M (2016), "Engineering, human and legal challenges of navigation systems for personal mobility", IEEE Transaction on Intelligent Transportation Systems, pp. 177-191, 2016
Abstract: Walking is now promoted as an alternative transport mode to polluting cars and as a successful means to improve health and longevity. Intelligent transport systems navigation ser- vices are now directly targeting travelers due to smartphones and their embedded sensors. However, after a decade of research, no universal personal navigation system has been successfully introduced and adopted to improve personal mobility. An analysis of the underlying reasons is conducted, looking at the engineering, human, ethical, and legal challenges. First, contrary to adopting classical mechanization equations linked to solid state physics, location technologies must address complex personal dynamics using connected objects. Second, human factors are often not suf- ficiently considered while designing new technologies. The needs and abilities of travelers are not systematically addressed from a user-centered perspective. Finally, people want to benefit from location-based services without sharing personal location data to uncontrolled third bodies. Europe is a pioneer in the protection of individuals from personal identification through data processing since location data has been recognized as personal data, but the challenges to enforce the regulation are numerous. The recommendation of privacy by design and default is an interesting key to conceive the universal personal navigation solution. Alternative solutions are highlighted, but they definitively require a more interdisciplinary conception.
BibTeX:
@article{Renaudin2016,
  author = {Renaudin, Valerie and Dommes, Aurelie and Guilbot, Michele},
  title = {Engineering, human and legal challenges of navigation systems for personal mobility},
  journal = {IEEE Transaction on Intelligent Transportation Systems},
  year = {2016},
   pages = {177--191},
  url = {https://ieeexplore.ieee.org/abstract/document/7480831},
  doi = {10.1109/TITS.2016.2563481}
}
Kumar S, Renaudin V, Aoustin Y, Le Carpentier E and Combettes C (2016), "Model - based and Experimental Analysis of the Symmetry in Human Walking in Different Device Carrying Modes", In 6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob). UTown, Singapore , pp. 1172-1179. IEEE.
Abstract: The advent of embedded sensors and their low cost integration in handheld devices (e.g. smartphones) are making them increasingly aware of the human location and context. There have been attempts to extract certain gait features (e.g. step length, step frequency etc.) based on data recorded from handheld devices. However, these attempts have been mostly inspired from observations in biomechanics. Hence, there is a profound need to study the modeling of human walking gait cycle while taking into account the different device carrying modes. It is hypothesized that the presence of handheld device in one hand can alter the step level symmetry of human walking gait cycle without affecting the stride level symmetry. The aim of this paper is to present a model of human walking gait cycle in different device carrying modes over a stride, which is based on parametric optimization technique used in robotics motion generation and the results of a preliminary experimentation conducted using motion capture technology. Both simulation and pilot experiments confirm that the presence of a small mass in one hand can affect the step level symmetry of the human walking gait which constitutes the novel outcome of this paper. Overall, the model successfully captures human walking features and can stand useful for the enhancement of existing pedestrian navigation algorithms with handheld devices for an increased autonomy of elderly people and pedestrian's mobility in general.
BibTeX:
@inproceedings{Kumar2016,
  author = {Kumar, Shivesh and Renaudin, Valerie and Aoustin, Yannick and Le Carpentier, Eric and Combettes, Christophe},
  title = {Model - based and Experimental Analysis of the Symmetry in Human Walking in Different Device Carrying Modes},
  booktitle = {6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)},
  publisher = {IEEE},
  year = {2016},
  pages = {1172--1179},
  doi = {10.1109/BIOROB.2016.7523790}
}
Combettes C and Renaudin V (2016), "Delay Kalman Filter to estimate the attitude of a mobile object with indoor magnetic field gradients", Micromachines. Vol. 7(5), 17p.
Abstract: More and more services are based on knowing the location of pedestrians equipped with connected objects (smartphones, smartwatches, etc.). One part of the location estimation process is attitude estimation. Many algorithms have been proposed but they principally target open space areas where the local magnetic field equals the Earth's field. Unfortunately, this approach is impossible indoors, where the use of magnetometer arrays or magnetic field gradients has been proposed. However, current approaches omit the impact of past state estimates on the current orientation estimate, especially when a reference field is computed over a sliding window. A novel Delay Kalman filter is proposed in this paper to integrate this time correlation: the Delay MAGYQ. Experimental assessment, conducted in a motion lab with a handheld inertial and magnetic mobile unit, shows that the novel filter better estimates the Euler angles of the handheld device with an 11.7Ë? mean error on the yaw angle as compared to 16.4Ë? with a common Additive Extended Kalman filter
BibTeX:
@article{Combettes2016,
  author = {Combettes, Christophe and Renaudin, Valerie},
  title = {Delay Kalman Filter to estimate the attitude of a mobile object with indoor magnetic field gradients},
  journal = {Micromachines},
  year = {2016},
  volume = {7},
  number = {5},
  pages = {17p},
  doi = {10.3390/mi7050079}
}
Chable S and Renaudin V (2016), "Couplage de mesures GPS et inertielles pour de la navigation pédestre dans les bâtiments", XYZ. Vol. 146, pp. 27-32.
Abstract: Developing a precise estimation system of pedestrian tracks inside buildings in order to qualify others navigation methods is targeted in this project. The aim of this contribution is to improve the existing solution thanks to novel GNSS observations. GNSS based velocity estimate was studied using two different observations: Doppler frequency and Time-Differenced Carrier-Phase (TDCP). Following a performance comparison of the velocity estimated with both observables, the TDCP was chosen for the hybridization filter. The contribution of GNSS TDCP is found to be significant on the existing solution. Achieving a better biases estimate improves the overall quality of pedestrian foot tracks estimation
BibTeX:
@article{Chable2016,
  author = {Chable, Sylvain and Renaudin, Valérie},
  title = {Couplage de mesures GPS et inertielles pour de la navigation pédestre dans les bâtiments},
  journal = {XYZ},
  year = {2016},
  volume = {146},
  pages = {27--32},
  url = {http://www.aftopo.org/FR/REVUES/revue-4-148.html}
}
Antigny N, Servières M and Renaudin V (2016), "Hybrid Visual and Inertial Position and Orientation Estimation based on Known Urban 3D Models", In International conference on Indoor Positioning and Indoor Navigation (IPIN). Madrid, Spain (October), pp. 4-7.
BibTeX:
@inproceedings{Antigny2016,
  author = {Antigny, Nicolas and Servières, Myriam and Renaudin, Valérie},
  title = {Hybrid Visual and Inertial Position and Orientation Estimation based on Known Urban 3D Models},
  booktitle = {International conference on Indoor Positioning and Indoor Navigation (IPIN)},
  year = {2016},
  number = {October},
  pages = {4--7},
  doi = {10.1109/IPIN.2016.7743619}
}
Combettes C and Renaudin V (2015), "Comparison of Misalignment Estimation Techniques Between Handheld Device and Walking Directions", In International Conference on Indoor Positioning and Indoor Navigation (IPIN). Banff, Canada, pp.13-16. IEEE.
Abstract: Pedestrian navigation systems based on smartphone are experiencing fast progress in indoor environment. Pedestrian dead reckoning approaches combined with improved inertial sensors' quality and the exploitation of magnetic field are used to mitigate the sensor drifts. The last remaining issue is related to the hand dynamic. It consists in estimating the angular misalignment between the smartphone pointing direction and the walking direction. Even though, some methods exist, their performances are lacking accuracy and reliability. A comparison of the three main methods to estimate this angular misalignment is performed. These methods are based on Principal Component Analysis (PCA), Forward and Lateral Accelerations Modeling (FLAM) and Frequency analysis of Inertial Signals (FIS). Despite better results for the FIS method all algorithm suffer from large outliers and a need for improved robustness is identified
BibTeX:
@inproceedings{Combettes2015,
  author = {Combettes, Christophe and Renaudin, Valerie},
  title = {Comparison of Misalignment Estimation Techniques Between Handheld Device and Walking Directions},
  booktitle = {International Conference on Indoor Positioning and Indoor Navigation (IPIN)},
  publisher = {IEEE},
  year = {2015},
  pages = {13--16},
  url = {https://ieeexplore.ieee.org/abstract/document/7346766/},
  doi = {10.1109/IPIN.2015.7346766}
}
Renaudin V, Combettes C and Peyret F (2014), "Quaternion Based Heading Estimation with Handheld MEMS in Indoor Environments", In Position Location And Navigation Conference. Monterey, CA, USA, May, 2014, 12p.
Abstract: Pedestrian Dead-Reckoning (PDR) is the prime candidate for autonomous navigation with self-contained sensors. Nevertheless with noisy sensor signals and high hand dynamics, estimating accurate attitude angles remains a challenge for achieving long term positioning accuracy. A new attitude estimation algorithm based on a quaternion parameterization directly in the state vector and two opportunistic updates, i.e. magnetic angular rate update and acceleration gradient update, is proposed. The benefit of this method is assessed both at the theoretical level and at the experimental level. The error on the heading, estimated only with the PDR navigation algorithms, is found to less than 7° after 1 km of walk.
BibTeX:
@inproceedings{Renaudin2014a,
  author = {Renaudin, Valérie and Combettes, Christophe and Peyret, François},
  title = {Quaternion Based Heading Estimation with Handheld MEMS in Indoor Environments},
  booktitle = {Position Location And Navigation Conference},
  year = {2014},
  pages = {12p},
  url = {https://ieeexplore.ieee.org/abstract/document/6851427},
  doi = {10.1109/PLANS.2014.6851427}
}
Peyret F, Bétaille D, Pinana-Diaz C, Toledo-Moreo R, Gomez-Skarmeta AF and Ortiz M (2014), "GNSS autonomous localization: Non-Line-Of-Sight satellite detection based on digital maps of city environments", IEEE Robotics and Automation Magazine, March, 2014. Vol. 21(1), pp. 57-63.
BibTeX:
@article{Peyret2014,
  author = {Peyret, François and Bétaille, David and Pinana-Diaz, Carolina. and Toledo-Moreo, Rafael and Gomez-Skarmeta, Antonio F. and Ortiz, Miguel},
  title = {GNSS autonomous localization: Non-Line-Of-Sight satellite detection based on digital maps of city environments},
  journal = {IEEE Robotics and Automation Magazine},
  year = {2014},
  volume = {21},
  number = {1},
  pages = {57--63},
  url = {https://ieeexplore.ieee.org/document/6740014/},
  doi = {10.1109/MRA.2013.2295944}
}
Renaudin V and Combettes C (2014), "Magnetic, Acceleration Fields and Gyroscope Quaternion (MAGYQ) Based Attitude Estimation with Smartphone Sensors for Indoor Pedestrian Navigation", Sensors. Vol. 14(12), pp. 22864-22890.
BibTeX:
@article{Renaudin2014,
  author = {Renaudin, Valérie and Combettes, Christophe},
  title = {Magnetic, Acceleration Fields and Gyroscope Quaternion (MAGYQ) Based Attitude Estimation with Smartphone Sensors for Indoor Pedestrian Navigation},
  journal = {Sensors},
  year = {2014},
  volume = {14},
  number = {12},
  pages = {22864--22890},
  url = {https://www.mdpi.com/1424-8220/14/12/22864},
  doi = {10.3390/s141222864}
}
Renaudin V, Demeule V and Ortiz M (2013), "Adaptative Pedestrian Displacement Estimation with a Smartphone for Free Inertial Navigation", IEEE International Conference on Indoor Positioning and Indoor Navigation, Montbéliard, France, pp.916-924 - Oct. 2013, In IEEE International Conference on Indoor Positioning and Indoor Navigation. Montbéliard, France, October, 2013, pp.916-924.
Abstract: Pedestrian dead reckoning is one of the most promising processing strategies of inertial signals collected with a smartphone for autonomous indoor personal navigation. When the sensors are held in hand, step length models are usually used to estimate the walking distance. They combine stride frequency with a finite number of physiological and descriptive parameters that are calibrated with training data for each person. But even under steady conditions, several physiological conditions are impacting the walking gait and consequently these parameters. Frequent calibration is needed to tune these models prior to relying on free inertial navigation solutions in indoor locations. Two hybridization filters are proposed for calibrating the step length model and estimating the navigation solution. They integrate either GNSS standalone positions or GNSS Doppler depending on the coupling level. A data collection performed with four test subjects show the variations of these parameters for the same person during his journey and effectiveness of the calibration for improving the estimation of walking distances. Thanks to the new filters, the error on the travelled distance gets reduced to 7% with the loosely coupled filter and 2% with the tightly coupled filter.
BibTeX:
@inproceedings{Renaudin2013,
  author = {Renaudin, Valérie and Demeule, Vincent and Ortiz, Miguel},
  title = {Adaptative Pedestrian Displacement Estimation with a Smartphone for Free Inertial Navigation},
  booktitle = {IEEE International Conference on Indoor Positioning and Indoor Navigation},
  journal = {IEEE International Conference on Indoor Positioning and Indoor Navigation, Montbéliard, France, pp. 916-924 - Oct. 2013},
  year = {2013},
  pages = {916--924},
  url = {https://ieeexplore.ieee.org/document/6817901/},
  doi = {10.1109/IPIN.2013.6817901}
}
Renaudin V (2013), "Active Transport : A New Challenge for Indoor Positioning", In IEEE International Conference on Indoor Positioning and Indoor Navigation (IPIN). Montbéliard, France, October, 2013.
BibTeX:
@inproceedings{Renaudin2013a,
  author = {Renaudin, Valérie},
  title = {Active Transport : A New Challenge for Indoor Positioning},
  booktitle = {IEEE International Conference on Indoor Positioning and Indoor Navigation (IPIN)},
  year = {2013}
}
Voyer M, Bétaille D and Peyret F (2013), "Amélioration de la position GNSS en ville par la méthode des tranchées urbaines", Géomatique Expert. Vol. 93, 14p.
Abstract: Le système GPS est opérationnel depuis les années quatre-vingt-dix. Il a bouleversé les méthodes de positionnement statique, et permis à une communauté d’utilisateurs très large de faire du positionnement dynamique. Le laboratoire Géoloc de l’IFSTTAR s’intéresse particulièrement aux besoins de positionnement pour la mobilité, qu’elle soit embarquée dans des véhicules ou piétonne. Les applications visées ressortissent au domaine des systèmes de transport intelligents, utilisant un matériel peu onéreux, essentiellement en milieu urbain qui concentre la majorité des futures applications. Mais ce contexte est propice aux perturbations dans la réception des signaux des satellites, qui compliquent la localisation précise des équipements. L’IFSTTAR s’est engagé dans des projets pluriannuels consacrés à la localisation en ville, tels que CityVIP (ANR, 2008-2011) et Inturb (MEDDE, DGITM 2012- 2014). Cet article s’intéresse aux problèmes de localisation GNSS en milieu urbain où la connaissance a priori du bâti est disponible sous la forme d’une base de données numérique.
BibTeX:
@article{Voyer2013,
  author = {Voyer, Maxime and Bétaille, David and Peyret, François},
  title = {Amélioration de la position GNSS en ville par la méthode des tranchées urbaines},
  journal = {Géomatique Expert},
  year = {2013},
  volume = {93},
  pages = {14p},
  url = {http://www.geomag.fr/revues/2013}
}
Susi M, Renaudin V and Lachapelle G (2013), "Motion Mode Recognition and Step Detection Algorithms for Mobile Phone Users", Sensors. Vol. 13(2), pp. 1539-1562.
Abstract: Microelectromechanical Systems (MEMS) technology is playing a key role in the design of the new generation of smartphones. Thanks to their reduced size, reduced power consumption, MEMS sensors can be embedded in above mobile devices for increasing their functionalities. However, MEMS cannot allow accurate autonomous location without external updates, e.g., from GPS signals, since their signals are degraded by various errors. When these sensors are fixed on the user’s foot, the stance phases of the foot can easily be determined and periodic Zero velocity UPdaTes (ZUPTs) are performed to bound the position error. When the sensor is in the hand, the situation becomes much more complex. First of all, the hand motion can be decoupled from the general motion of the user. Second, the characteristics of the inertial signals can differ depending on the carrying modes. Therefore, algorithms for characterizing the gait cycle of a pedestrian using a handheld device have been developed. A classifier able to detect motion modes typical for mobile phone users has been designed and implemented. According to the detected motion mode, adaptive step detection algorithms are applied. Success of the step detection process is found to be higher than 97% in all motion modes.
BibTeX:
@article{Susi2013,
  author = {Susi, Melania and Renaudin, Valerie and Lachapelle, Gerard},
  title = {Motion Mode Recognition and Step Detection Algorithms for Mobile Phone Users},
  journal = {Sensors},
  year = {2013},
  volume = {13},
  number = {2},
  pages = {1539--1562},
  url = {https://www.mdpi.com/1424-8220/13/2/1539},
  doi = {10.3390/s130201539}
}
Peyraud S, Bétaille D, Renault S, Ortiz M, Mougel F, Meizel D and Peyret F (2013), "About Non-Line-Of-Sight satellite detection and exclusion in a 3D map-aided localization algorithm", Sensors. Vol. 13, pp. 829-847.
Abstract: Reliable GPS positioning in city environment is a key issue: actually, signals are prone to multipath, with poor satellite geometry in many streets. Using a 3D urban model to forecast satellite visibility in urban contexts in order to improve GPS localization is the main topic of the present article. A virtual image processing that detects and eliminates possible faulty measurements is the core of this method. This image is generated using the position estimated a priori by the navigation process itself, under road constraints. This position is then updated by measurements to line-of-sight satellites only. This closed-loop real-time processing has shown very first promising full-scale test results.
BibTeX:
@article{Peyraud2013,
  author = {Peyraud, Sébastien and Bétaille, David and Renault, Stéphane and Ortiz, Miguel and Mougel, Florian and Meizel, Dominique and Peyret, François},
  title = {About Non-Line-Of-Sight satellite detection and exclusion in a 3D map-aided localization algorithm},
  journal = {Sensors},
  year = {2013},
  volume = {13},
  pages = {829--847},
  url = {https://www.mdpi.com/1424-8220/13/1/829},
  doi = {10.3390/s130100829}
}
Ortiz M, Renaudin V, Peyret F and Bétaille D (2013), "Using a reference vehicle for solving GNSS localization challenges", Inside GNSS. Vol. 8(5), 19p.
Abstract: This three-part article describes the features and applications of the Vehicle for Experimental Research on Trajectories (VERT) as designed and used by the GEOLOC Laboratory at IFSTTAR.
BibTeX:
@article{Ortiz2013,
  author = {Ortiz, Miguel and Renaudin, Valérie and Peyret, François and Bétaille, David},
  title = {Using a reference vehicle for solving GNSS localization challenges},
  journal = {Inside GNSS},
  year = {2013},
  volume = {8},
  number = {5},
  pages = {19p},
  url = {https://insidegnss.com/from-lab-to-road-test/}
}
Kamel AM, Renaudin V, Nielsen J and Lachapelle G (2013), "INS Assisted Fuzzy Tracking Loop for GPS-Guided Missiles and Vehicular Applications", International Journal of Navigation and Observation. Vol. 2013, 17p.
Abstract: Autonomous Navigation Systems used in missiles and other high dynamic platforms are mostly dependent on the Global Positioning System (GPS). GPS users face limitations in terms of missile high dynamics and signal interference. Receiver’s tracking loops bandwidth requirements to avoid these problems are conflicting. The paper presents a novel signal frequency and phase tracking algorithm for very high dynamic conditions, which mitigates the conflicting choice of bandwidths and reduces tracking loop measurement noise. It exploits the flexibility of fuzzy control systems for directly generating the required Numerically Controlled Oscillator (NCO) tuning frequency using phase and frequency discriminators information and is labeled Fuzzy Frequency Phase Lock Loop (FFPLL). Because Fuzzy Systems can be computationally demanding and an Inertial Navigation System (INS) is often onboard the vehicle, an assisted INS Doppler version has been designed and is also proposed. Assessment of the new GPS tracking method is performed with both simulated and experimental data under jamming conditions. The main enhancements of the proposed system consist in reduced processing time, improved tracking continuity and faster reacquisition time.
BibTeX:
@article{Kamel2013,
  author = {Kamel, Ahmed M. and Renaudin, Valerie and Nielsen, John and Lachapelle, Gerard},
  title = {INS Assisted Fuzzy Tracking Loop for GPS-Guided Missiles and Vehicular Applications},
  journal = {International Journal of Navigation and Observation},
  year = {2013},
  volume = {2013},
  pages = {17},
  url = {https://www.hindawi.com/journals/ijno/2013/750385/},
  doi = {10.1155/2013/750385}
}
He Z, Renaudin V, Petovello MG and Lachapelle G (2013), "Use of High Sensitivity GNSS Receiver Doppler Measurements for Indoor Pedestrian Dead Reckoning", Sensors. Vol. 13(4), pp. 4303-4326.
Abstract: Dead-reckoning (DR) algorithms, which use self-contained inertial sensors combined with gait analysis, have proven to be effective for pedestrian navigation purposes. In such DR systems, the primary error is often due to accumulated heading drifts. By tightly integrating global navigation satellite system (GNSS) Doppler measurements with DR, such accumulated heading errors can usually be accurately compensated. Under weak signal conditions, high sensitivity GNSS (HSGNSS) receivers with block processing techniques are often used, however, the Doppler quality of such receivers is relatively poor due to multipath, fading and signal attenuation. This often limits the benefits of integrating HSGNSS Doppler with DR. This paper investigates the benefits of using Doppler measurements from a novel direct vector HSGNSS receiver with pedestrian dead-reckoning (PDR) for indoor navigation. An indoor signal and multipath model is introduced which explains how conventional HSGNSS Doppler measurements are affected by indoor multipath. Velocity and Doppler estimated by using direct vector receivers are introduced and discussed. Real experimental data is processed and analyzed to assess the veracity of proposed method. It is shown when integrating HSGNSS Doppler with PDR algorithm, the proposed direct vector method are more helpful than conventional block processing method for the indoor environments considered herein
BibTeX:
@article{He2013,
  author = {He, Zhe and Renaudin, Valerie and Petovello, Mark G. and Lachapelle, Gerard},
  title = {Use of High Sensitivity GNSS Receiver Doppler Measurements for Indoor Pedestrian Dead Reckoning},
  journal = {Sensors},
  year = {2013},
  volume = {13},
  number = {4},
  pages = {4303--4326},
  url = {https://www.mdpi.com/1424-8220/13/4/4303},
  doi = {10.3390/s130404303}
}
Bétaille D, Peyret F, Ortiz M, Miquel S and Fontenay L (2013), "A new modelling based on urban trenches to improve GNSS positioning Quality of Service in cities", IEEE Intelligent Transportation Systems Magazine. Vol. 5(1), pp. 59-70.
Abstract: Digital maps with 3D data proved to make it possible the determination of Non-Line-Of-Sight (NLOS) satellites in real time, whilst moving, and obtain significant benefit in terms of navigation accuracy. However, such data are difficult to handle with Geographical Information System (GIS) embedded software in real time. The idea developed in this article consists is proposing a method, light in terms of information contents and computation throughput, for taking into account the knowledge of the 3D environment of a vehicle in a city, where multipath phenomena can cause severe errors in positioning solution. This method makes use of a digital map where homogeneous sections of streets have been identified, and classified among different types of urban trenches. This classification is so called: "Urban Trench Model". Not only NLOS satellites can be detected, but also, if needed, the corresponding measurements can be corrected and further used in the positioning solver. The paper presents in details the method and its results on several real test sites, with a demonstration of the gain obtained on the final position accuracy. The benefit of the Urban Trench Model, i.e. the reduction of positioning errors as compared to conventional solver considering all satellites, gets up to an amount between 30% and as much as 70% e.g. in Paris.
BibTeX:
@article{Betaille2013,
  author = {Bétaille, David and Peyret, François and Ortiz, M. and Miquel, Stéphan and Fontenay, Leïla},
  title = {A new modelling based on urban trenches to improve GNSS positioning Quality of Service in cities},
  journal = {IEEE Intelligent Transportation Systems Magazine},
  year = {2013},
  volume = {5},
  number = {1},
  pages = {59--70},
  url = {https://ieeexplore.ieee.org/abstract/document/6565516},
  doi = {10.1109/MITS.2013.2263460}
}
Renaudin V (2013), "Active Transport : A New Challenge for Indoor Positioning", In IEEE International Conference on Indoor Positioning and Indoor Navigation (IPIN). Montbéliard, France, October 2013.
BibTeX:
@inproceedings{Renaudin2013a,
  author = {Renaudin, Valérie},
  title = {Active Transport : A New Challenge for Indoor Positioning},
  booktitle = {IEEE International Conference on Indoor Positioning and Indoor Navigation (IPIN)},
  year = {2013}
}
Hage R-M, Betaille D, Peyret F and Meizel D (2012), "Unscented Kalman filter for urban network travel time estimation", Procedia - Social and Behavioral Sciences., October, 2012. Vol. 54, pp. 1047-1057. Elsevier BV.
Abstract: To estimate urban network travel time, the classical analytical procedure uses cumulative counts at upstream and downstream locations of links. This procedure is vulnerable in urban networks mainly due to significant flow to and from mid-link sinks and sources. Moreover, most urban network links are only equipped with detectors at their end. Therefore without information on the percentage of turning movement at crossroads, the classical analytical procedure is not applicable. The algorithm proposed and validated in this research estimates urban links travel times based on an unscented Kalman filter (UKF). This algorithm integrates stochastically the vehicle count data from underground loop detectors at the end of every link and the travel times from probe vehicles. The proposed methodology can be used for estimating travel time in real-time. Moreover, with this methodology the number of upstream vehicles as well as the number of mid-link sink/source vehicles is estimated for each link.
BibTeX:
@article{Hage_2012,
  author = {Ré-Mi Hage and David Betaille and François Peyret and Dominique Meizel},
  title = {Unscented Kalman filter for urban network travel time estimation},
  journal = {Procedia - Social and Behavioral Sciences},
  publisher = {Elsevier BV},
  year = {2012},
  volume = {54},
  pages = {1047--1057},
  url = {https://www.sciencedirect.com/science/article/pii/S1877042812042826},
  doi = {10.1016/j.sbspro.2012.09.820}
}
Hage R-M, Bétaille D, Peyret F, Meizel D and Smal J-C (2012), "Unscented Kalman filter for urban link travel time estimation with mid-link sinks and sources", In IEEE ITS Conference. Anchorage, AK, September, 2012, 10p.
Abstract: To estimate link travel time, the classical analytical procedure uses vehicles counts at upstream and downstream locations. This procedure is vulnerable in urban networks mainly due to significant flow to and from mid-link sinks and sources. One of the important developments recently done on this topic has yielded to the CUPRITE methodology. This method is derived from the classical analytical procedure. It integrates probe vehicle data to correct deterministically the upstream cumulative plot to match the information of probe vehicles travel times, whilst the downstream cumulative plot is kept unchanged. The algorithm proposed and validated in this research estimates urban links travel times based on an unscented Kalman filter (UKF). This algorithm integrates stochastically the vehicle count data from underground loop detectors at the end of every link and the travel time from probe vehicles. The proposed methodology, which can be used for travel time estimation in real-time, is compared to the classical analytical procedure and to the CUPRITE method in case of mid-link perturbation. Along to its lower sensitivity than CUPRITE, the UKF algorithm makes it possible detection and exclusion of outliers from both data sources.
BibTeX:
@inproceedings{Hage2012,
  author = {Hage, Ré-Mi and Bétaille, David and Peyret, François and Meizel, Dominique and Smal, Jean-Christophe},
  title = {Unscented Kalman filter for urban link travel time estimation with mid-link sinks and sources},
  booktitle = {IEEE ITS Conference},
  year = {2012},
  pages = {10p},
  url = {https://ieeexplore.ieee.org/document/6338675},
  doi = {10.1109/ITSC.2012.6338675}
}
Hage R-M, Bétaille D, Peyret F and Meizel D (2012), "Unscented Kalman filter for estimating urban network travel time", 15th meeting of the European Working Group on Transportation – Paris – September 2012., In 15th meeting of the European Working Group on Transportation. Paris, September, 2012, 10p.
Abstract: To estimate urban network travel time, the classical analytical procedure uses cumulative counts at upstream and downstream locations of links. This procedure is vulnerable in urban networks mainly due to significant flow to and from mid-link sinks and sources. Moreover, most urban network links are only equipped with detectors at their end. Therefore without information on the percentage of turning movement at crossroads, the classical analytical procedure is not applicable. The algorithm proposed and validated in this research estimates urban links travel times based on an unscented Kalman filter (UKF). This algorithm integrates stochastically the vehicle count data from underground loop detectors at the end of every link and the travel times from probe vehicles. The proposed methodology can be used for estimating travel time in real-time. Moreover, with this methodology the number of upstream vehicles as well as the number of mid-link sink/source vehicles is estimated for each link.
BibTeX:
@inproceedings{Hage2012a,
  author = {Hage, Ré-Mi and Bétaille, David and Peyret, F. and Meizel, Dominique},
  title = {Unscented Kalman filter for estimating urban network travel time},
  booktitle = {15th meeting of the European Working Group on Transportation},
  journal = {15th meeting of the European Working Group on Transportation – Paris – September 2012},
  year = {2012},
  pages = {10p},
  url = {https://www.sciencedirect.com/science/article/pii/S1877042812042826},
  doi = {10.1016/j.sbspro.2012.09.820}
}
Pinana-Diaz C, Toledo-Moreo R, Gomez-Skarmeta A, Bétaille D and Peyret F (2012), "Elevation-enhanced-map-based GPS Non-Line-Of-Sight detection in urban environments", In IEEE IV Symposium on navigation, perception, accurate positioning and mapping for intelligent vehicles. Alcala de Henares, June, 2012.
BibTeX:
@inproceedings{PinanaDiaz2012,
  author = {Pinana-Diaz, Carolina and Toledo-Moreo, Rafael and Gomez-Skarmeta, Antonio and Bétaille, David and Peyret, François},
  title = {Elevation-enhanced-map-based GPS Non-Line-Of-Sight detection in urban environments},
  booktitle = {IEEE IV Symposium on navigation, perception, accurate positioning and mapping for intelligent vehicles},
  year = {2012}
}
Bétaille D, Peyraud S, Mougel F, Renault S, Ortiz M, Meizel D and Peyret F (2012), "Using road constraints to progress in real-time NLOS detection", IEEE IV Symposium on navigation, perception, accurate positioning and mapping for intelligent vehicles – Alcalá de Henares – June 2012., In IEEE IV Symposium on navigation, perception, accurate positioning and mapping for intelligent vehicles. Alcalá de Henares, June, 2012., 6p.
Abstract: Using a 3D urban model to forecast satellites visibility in urban contexts in order to monitor GPS localization is the main topic of the present article. A virtual image processing is at the core of this method. A preliminary proof of concept has been presented in IEEE ITST 2011, where the theoretically visible satellites were computed with respect to the true position of the vehicle computed off-line from the data of a much more sophisticated equipment. This article addresses now the closed-loop real-time processing of the method, i.e. using the position estimated by the navigation process itself, under road constraints, with very first promising full-scale test results.
BibTeX:
@inproceedings{Betaille2012,
  author = {Bétaille, David and Peyraud, Sébastien and Mougel, Florian and Renault, Stéphane and Ortiz, Miguel and Meizel, Dominique and Peyret, François},
  title = {Using road constraints to progress in real-time NLOS detection},
  booktitle = {IEEE IV Symposium on navigation, perception, accurate positioning and mapping for intelligent vehicles},
  journal = {IEEE IV Symposium on navigation, perception, accurate positioning and mapping for intelligent vehicles – Alcalá de Henares – June 2012},
  year = {2012},
  pages = {6p},
  url = {https://ieeexplore.ieee.org/xpl/conhome/6222409/proceeding}
}
Renaudin V, Susi M and Lachapelle G (2012), "Step Length Estimation Using Handheld Inertial Sensors", Sensors. Vol. 12(7), pp. 8507-8525.
BibTeX:
@article{Renaudin2012,
  author = {Renaudin, Valérie and Susi, Melania and Lachapelle, Gérard},
  title = {Step Length Estimation Using Handheld Inertial Sensors},
  journal = {Sensors},
  year = {2012},
  volume = {12},
  number = {7},
  pages = {8507-8525},
  url = {https://www.mdpi.com/1424-8220/12/7/8507},
  doi = {10.3390/s120708507}
}
Bétaille D, Nicolle P and Ieng S-S (2010), "Trajectographie Submétrique par Couplage DGPS, Carte Précise des Marquages et Vision", Conférence PRAC 2010, In Conference PRAC. Paris, May, 2010, 1p.
BibTeX:
@inproceedings{Betaille2010,
  author = {Bétaille, David and Nicolle, Philippe and Ieng, Sio-Song},
  title = {Trajectographie Submétrique par Couplage DGPS, Carte Précise des Marquages et Vision},
  booktitle = {Conference PRAC},
  journal = {Conférence PRAC – Paris – Mai 2010},
  year = {2010},
  pages = {1p},
  url = {http://prac2010.free.fr/lib/pres/poster_48.pdf}
}
Toledo-Moreo. R, Bétaille D and Peyret F (2010), "Lane level integrity provision for navigation and map-matching with GNSS, dead-reckoning and enhanced maps", IEEE Transactions on ITS, March, 2010. Vol. 11(1), pp. 100-112.
BibTeX:
@article{ToledoMoreo2010,
  author = {Toledo-Moreo., Rafael and Bétaille, David and Peyret, François},
  title = {Lane level integrity provision for navigation and map-matching with GNSS, dead-reckoning and enhanced maps},
  journal = {IEEE Transactions on ITS},
  year = {2010},
  volume = {11},
  number = {1},
  pages = {100--112},
  url = {https://ieeexplore.ieee.org/abstract/document/5286855/},
  doi = {10.1109/TITS.2009.2031625}
}
Bétaille D and Toledo-Moreo R (2010), "Creating enhanced maps for lane-level vehicle navigation", IEEE Transactions on ITS. Vol. 11(4), pp. 786-798.
BibTeX:
@article{Betaille2010a,
  author = {Bétaille, David and Toledo-Moreo, Rafael},
  title = {Creating enhanced maps for lane-level vehicle navigation},
  journal = {IEEE Transactions on ITS},
  year = {2010},
  volume = {11},
  number = {4},
  pages = {786--798},
  url = {https://ieeexplore.ieee.org/document/5499153/},
  doi = {10.1109/TITS.2010.2050689}
}