المؤلفون: Potortì, Francesco, Park, Sangjoon, Crivello, Antonino, Palumbo, Filippo, GIROLAMI, MICHELE, Barsocchi, Paolo, Lee, Soyeon, Torres-Sospedra, Joaquín, Jimenez Ruiz, Antonio Ramon, Perez-Navarro, Antoni, Mendoza-Silva, Germán Martín, Seco, Fernando, ortiz, miguel, PERUL, Johan, Renaudin, Valerie, Kang, Hyunwoong, Park, Soyoung, Lee, Jae Hong, Park, Chan Gook, Ha, Jisu, Han, JaeSeung, Park, Changjun, Kim, Keunhye, Lee, Yonghyun, Gye, Seunghun, lee, keumryeol, Kim, Eunjee, Choi, Jeongsik, choi, Yang-Seok, Talwar, Shilpa, Cho, Seong Yun, Ben-Moshe, Boaz, Scherbakov, Alex, Antsfeld, Leonid, Sansano-Sansano, Emilio, Chidlovskii, Boris, Kronenwett, Nikolai, Prophet, Silvia, Landay, Yael, Marbel, Revital, Zheng, Lingxiang, Peng, Ao, Lin, Zhichao, Wu, Bang, Ma, Chengqi, Poslad, Stefan, Selviah, David, Wu, Wei, Ma, Zixiang, Zhang, Wenchao, Wei, Dongyan, Yuan, Hong, Jiang, Jun-Bang, Huang, Shao-Yung, Liu, Jing-Wen, Su, Kuan-Wu, Leu, Jenq-Shiou, Nishiguchi, Kazuki, BOUSSELHAM, Walid, Uchiyama, Hideaki, Thomas, Diego, Shimada, Atsushi, Taniguchi, Rin-ichiro, Cortés Puschel, Vicente, Lungenstrass, Tomás, Ashraf, Imran, Lee, Chanseok, Ali, Muhammad Usman, Im, Yeongjun, Kim, Gunzung, Eom, Jeongsook, Hur, Soojung, Park, Yongwan, Opiela, Miroslav, Moreira, Adriano, Nicolau, Maria João, Pendão, Cristiano, Silva, Ivo, Meneses, Filipe, Costa, António, Trogh, Jens, Plets, David, Chien, Ying-Ren, Chang, Tzu-Yu, Fang, Shih-Hau, Tsao, Yu

مصطلحات موضوعية: indoor localisation, indoor navigation, competition, benchmarking, smartphone-based positioning, foot-mounted pedestrian dead reckoning, Wi-Fi fingerprinting, magnetic field, camera-based positioning, inertial-based positioning, sensor fusion, Kalman filter, particle filter, stakeholders, atmospheric measurements, particle measurements, real-time systems, wireless fidelity, sensor systems

الوصف: 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 1000 m 2 outdoors and and 6000 m 2 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.

وصف الملف: application/pdf

العلاقة: Development of human enhancement fire helmet and fire suppression support system; Basic Science Research Program; ICT Research and Development Program of MSIP/IITP (Development of Precise Positioning Technology for the Enhancement of Pedestrian Position/Spatial Cognition and Sports Competition Analysis); MICROCEBUS; REPNIN PLUS; TECHNOFUSION(III)CM; Development of wireless communication tracking-based location information system in disaster scene for fire-fighters and person who requested rescue; Strategic Priority Research Program; IEEE Access, Vol. 8 (2020); F. Potortì et al., "The IPIN 2019 Indoor Localisation Competition—Description and Results," in IEEE Access, vol. 8, pp. 206674-206718, 2020, doi:10.1109/ACCESS.2020.3037221.; http://hdl.handle.net/10234/200929Test

الإتاحة: https://doi.org/10.1109/ACCESS.2020.3037221Test
http://hdl.handle.net/10234/200929Test

المؤلفون: Perul, Johan, Renaudin, Valérie

المساهمون: Géolocalisation (AME-GEOLOC), Université Gustave Eiffel

المصدر: ISSN: 1530-437X ; IEEE Sensors Journal ; https://hal.science/hal-03252174Test ; IEEE Sensors Journal, 2021, 8p. ⟨10.1109/JSEN.2021.3086004⟩.

مصطلحات موضوعية: GNSS GLOBAL NAVIGATION SATELLITE SYSTEM, VELO, BICYCLES, SENSORS, CAPTEUR, WHEELS, ROUE, LOCATION AWARENESS, SENSIBILISATION A L&apos, EMPLACEMENT, RECEIVERS, RECEPTEURS, URBAN AREAS, ZONE URBAINE, NAVIGATION INERTIELLE, NAVIGATION A L&apos, ESTIME, DEAD RECKONING, GEOLOCALISATION ET NAVIGATION PAR UN SYSTEME DE SATELLITES - GNSS, BICYCLETTE, RECEPTEUR, [SPI]Engineering Sciences [physics]

الوصف: The use of bicycles is regaining popularity, especially in city centers where they can be used as quickly as cars and reduce carbon footprint. However, in these dense urban environments, navigation methods based on GNSS technologies do not provide sufficient accuracy for cyclist navigation and safety. To mitigate the challenges of indoor-like surroundings, a new positioning algorithm: BIKES (Bicycle Itinerancy Kalman filter with Embedded Sensors) was developed. This extended Kalman filter processes deeply degraded GNSS data to update velocity and position estimates with differential computation approaches working even in degraded environments. GNSS signals are combined with inertial and magnetic data to continuously estimate the trajectory when GNSS is unavailable. BIKES' performance was tested in real-life conditions on a 3 km long path in the city center downtown Nantes and compared to Google Fused Location Provider estimates. A mean positioning error below 1 m with a 0.5 m standard deviation is achieved. These results are 4 times better than the Google solution. This algorithm allows also distinguishing if the cyclist is riding on a bike path, the sidewalk, or the road, which is critical for guidance systems.

العلاقة: hal-03252174; https://hal.science/hal-03252174Test; https://hal.science/hal-03252174/documentTest; https://hal.science/hal-03252174/file/doc00032930.pdfTest

الإتاحة: https://doi.org/10.1109/JSEN.2021.3086004Test
https://hal.science/hal-03252174Test
https://hal.science/hal-03252174/documentTest
https://hal.science/hal-03252174/file/doc00032930.pdfTest

المؤلفون: Potorti, Francesco, Park, Sangjoon, Crivello, Antonino, Palumbo, Filippo, Girolami, Michele, Barsocchi, Paolo, Lee, Soyeon, Torres-Sospedra, Joaquin, Ruiz, Antonio Ramon Jimenez, Perez-Navarro, Antoni, Mendoza-Silva, German Martin, Seco, Fernando, Ortiz, Miguel, Perul, Johan, Renaudin, Valerie, Kang, Hyunwoong, Park, Soyoung, Lee, Jae Hong, Park, Chan Gook, Ha, Jisu, Han, Jaeseung, Park, Changjun, Kim, Keunhye, Lee, Yonghyun, Gye, Seunghun, Lee, Keumryeol, Kim, Eunjee, Choi, Jeong-Sik, Choi, Yang-Seok, Talwar, Shilpa, Cho, Seong Yun, Ben-Moshe, Boaz, Scherbakov, Alex, Antsfeld, Leonid, Sansano-Sansano, Emilio, Chidlovskii, Boris, Kronenwett, Nikolai, Prophet, Silvia, Landay, Yael, Marbel, Revital, Zheng, Lingxiang, Peng, Ao, Lin, Zhichao, Wu, Bang, Ma, Chengqi, Poslad, Stefan, Selviah, David R., Wu, Wei, Ma, Zixiang, Zhang, Wenchao, Wei, Dongyan, Yuan, Hong, Jiang, Jun-Bang, Huang, Shao-Yung, Liu, Jing-Wen, Su, Kuan-Wu, Leu, Jenq-Shiou, Nishiguchi, Kazuki, Bousselham, Walid, Uchiyama, Hideaki, Thomas, Diego, Shimada, Atsushi, Taniguchi, Rin-Ichiro, Puschel, Vicente Cortes, Poulsen, Tomas Lungenstrass, Ashraf, Imran, Lee, Chanseok, Ali, Muhammad Usman, Im, Yeongjun, Kim, Gunzung, Eom, Jeongsook, Hur, Soojung, Park, Yongwan, Opiela, Miroslav, Moreira, Adriano, Nicolau, Maria Joao, Pendao, Cristiano, Silva, Ivo, Meneses, Filipe, Costa, Antonio, Trogh, Jens, Plets, David, Chien, Ying-Ren, Chang, Tzu-Yu, Fang, Shih-Hau, Tsao, Yu

المصدر: IEEE access, 8, 206674–206718 ; ISSN: 2169-3536

مصطلحات موضوعية: ddc:620, Engineering & allied operations, info:eu-repo/classification/ddc/620

الوصف: PIN 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 1000 m 2 outdoors and and 6000 m 2 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.

وصف الملف: application/pdf

العلاقة: info:eu-repo/semantics/altIdentifier/wos/000594446900001; info:eu-repo/semantics/altIdentifier/issn/2169-3536; https://publikationen.bibliothek.kit.edu/1000130123Test; https://publikationen.bibliothek.kit.edu/1000130123/104023450Test; https://doi.org/10.5445/IR/1000130123Test

الإتاحة: https://doi.org/10.5445/IR/1000130123Test
https://doi.org/10.1109/ACCESS.2020.3037221Test
https://publikationen.bibliothek.kit.edu/1000130123Test
https://publikationen.bibliothek.kit.edu/1000130123/104023450Test

المؤلفون: Renaudin, Valerie, Ortiz, Miguel, Perul, Johan, Torres-Sospedra, Joaquín, Ramón Jiménez, Antonio, Pérez-Navarro, Antoni, Martín Mendoza-Silva, Germán, Seco Granja, Fernando, Landau, Yael, Marbel, Revital, Ben-Moshe, Boaz, Zheng, Xingyu, Ye, Feng, Kuang, Jian, Li, Yu, Niu, Xiaoji, Landa, Vlad, Hacohen, Shlomi, Shvalb, Nir, Lu, Chuanhua, Uchiyama, Hideaki, Thomas, Diego, Shimada, Atsushi, Taniguchi, Rin-Ichiro, Ding, Zhenxing, Xu, Feng, Kronenwett, Nikolai, Vladimirov, Blagovest, Lee, Soyeon, Cho, Eunyoung, Jun, Sungwoo, Lee, Changeun, Park, Sanjoon, Lee, Yonghyun, Rew, Jehyeok, Park, Changjun, Jeong, Hyeongyo, Han, Jaeseung, Lee, Keumryeol, Zhang, Wenchao, Li, Xianghong, Wie, Dongyan, Zhang, Ying, Park, So Young, Park, Chan Gook, Knauth, Stefan, Pipelidis, Georgios, Tsiamitros, Nikolaos, Lungenstrass, Tomás, Morales, Juan Pablo, Trogh, Jens, Plets, David, Opiela, Miroslav, Fang, Shih-Hau, Tsao, Yu, Chien, Ying-Ren, Yang, Shi-Shen, Ye, Shih-Jyun, Ali, Muhammad Usman, Hur, Soojung, Park, Yongwan

المساهمون: Park, So Young, Ministry of Science and Technology of the People's Republic of China, European Commission, Institute of Information & Communications Technology Planning & Evaluation (South Korea), Japan Society for the Promotion of Science, Chinese Academy of Sciences, Renaudin, Valerie, Perul, Johan, Torres-Sospedra, Joaquín, Ramón Jiménez, Antonio, Pérez-Navarro, Antoni, Martín Mendoza-Silva, Germán, Seco, Fernando, Ye, Feng, Shvalb, Nir, Lu, Chuanhua, Park, Chan Gook, Opiela, Miroslav, Chien, Ying-Ren, Li, Yu, Niu, Xiaoji, Shimada, Atsushi

مصطلحات موضوعية: IPIN, Competition, Indoor navigation, Smart phones

الوصف: 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. ; This work was supported in part by the French Pays de la Loire Regional Council through Etoiles Montantes under the organization of IPIN2018 international competition under Grant 2017-10671, in part by the Atlantis Shopping Mall, in part by the Project REPNIN Plus under Grant TEC2017- ...

العلاقة: #PLACEHOLDER_PARENT_METADATA_VALUE#; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/TEC2017-90808-REDT; Publisher's version; https:// dx.doi.org/10.1109/ACCESS.2019.2944389; Sí; IEEE Access 7: 148594-148628 (2019); http://hdl.handle.net/10261/216887Test; http://dx.doi.org/10.13039/501100000780Test; http://dx.doi.org/10.13039/501100002367Test; http://dx.doi.org/10.13039/501100002855Test; http://dx.doi.org/10.13039/501100001691Test

الإتاحة: https://doi.org/10.1109/ACCESS.2019.2944389Test
https://doi.org/10.13039/501100000780Test
https://doi.org/10.13039/501100002367Test
https://doi.org/10.13039/501100002855Test
https://doi.org/10.13039/501100001691Test
http://hdl.handle.net/10261/216887Test

المؤلفون: Ortiz, Miguel, Perul, Johan, Renaudin, Valérie, Torres-Sospedra, Joaquin

المساهمون: Géolocalisation (AME-GEOLOC), Université Gustave Eiffel, ISTI-CNR

المصدر: IPIN ; https://hal.science/hal-04413927Test ; IPIN, ISTI-CNR, Sep 2019, PISA, Italy. ⟨10.5281/zenodo.3937220⟩ ; https://ipin-conference.org/2019/index.htmlTest

مصطلحات موضوعية: Indoor Positioning, Indoor Navigation, Competition datasets, Kalman filter, Particle filter, Pedestrian Dead Reckoning, Sensor fusion, Inertial sensor, Magnetometer, GNSS receiver, PERSY (PEdestrian Reference SYstem), [SPI]Engineering Sciences [physics]

جغرافية الموضوع: PISA, Italy

الوصف: International audience ; This package contains the datasets and supplementary materials used in the IPIN 2019 Competition (Pisa , Italy).

العلاقة: hal-04413927; https://hal.science/hal-04413927Test

الإتاحة: https://doi.org/10.5281/zenodo.3937220Test
https://hal.science/hal-04413927Test

المؤلفون: Potorti, Francesco, Park, Sangjoon, Crivello, Antonino, Palumbo, Filippo, Girolami, Michele, Barsocchi, Paolo, Lee, Soyeon, Torres-Sospedra, Joaquín, Ruiz, Antonio Ramon Jimenez, Perez-Navarro, Antoni, Mendoza-Silva, German Martin, Seco, Fernando, Ortiz, Miguel, Perul, Johan, Renaudin, Valerie, Kang, Hyunwoong, Park, Soyoung, Lee, Jae Hong, Park, Chan Gook, Ha, Jisu, Han, Jaeseung, Park, Changjun, Kim, Keunhye, Lee, Yonghyun, Gye, Seunghun, Lee, Keumryeol, Kim, Eunjee, Choi, Jeong Sik, Choi, Yang Seok, Talwar, Shilpa, Cho, Seong Yun, Ben-Moshe, Boaz, Scherbakov, Alex, Antsfeld, Leonid, Sansano-Sansano, Emilio, Chidlovskii, Boris, Kronenwett, Nikolai, Prophet, Silvia, Landay, Yael, Marbel, Revital, Zheng, Lingxiang, Peng, Ao, Lin, Zhichao, Wu, Bang, Ma, Chengqi, Poslad, Stefan, Selviah, David R., Wu, Wei, Ma, Zixiang, Zhang, Wenchao, Wei, Dongyan, Yuan, Hong, Jiang, Jun-Bang, Huang, Shao-Yung, Liu, Jing-Wen, Su, Kuan-Wu, Nishiguchi, Kazuki, Bousselham, Walid, Uchiyama, Hideaki, Thomas, Diego, Shimada, Atsushi, Taniguchi, Rin-Ichiro, Cortes Puschel, Vicente, Lungenstrass Poulsen, Tomas, Ashraf, Imran, Lee, Chanseok, Ali, Muhammad Usman, Im, Yeongjun, Kim, Gunzung, Eom, Jeongsook, Hur, Soojung, Park, Yongwan, Opiela, Miroslav, Moreira, Adriano, Nicolau, Maria João, Pendão, Cristiano Gonçalves, Silva, Ivo Miguel Menezes, Meneses, Filipe, Costa, António, Trogh, Jens, Plets, David, Chien, Ying-Ren, Chang, Tzu-Yu, Fang, Shih-Hau, Tsao, Yu

مصطلحات موضوعية: benchmarking, camera-based positioning, competition, foot-mounted pedestrian dead reckoning, Indoor localisation, indoor navigation, inertial-based positioning, Kalman filter, magnetic field, particle filter, sensor fusion, smartphone-based positioning, Wi-Fi fingerprinting, Sensors, Wireless fidelity, Sensor systems, Real-time systems, Particle measurements, Atmospheric measurements, Stakeholders, Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática, Science & Technology

الوصف: 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 1000 m2 outdoors and and 6000 m2 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. ; The authors would like to thank Siemens, the Electronic and Telecommunications Research Institute (ETRI), the Korean Institute of Communications and Information Sciences (KICS), Ganko Food, J-Power Systems, and the other sponsors who provided prizes for the winners of the competition (see http://ipin-conference.org/2019/awards.htmlTest for a complete list).

وصف الملف: application/pdf

العلاقة: https://ieeexplore.ieee.org/document/9253514Test; F. Potortì et al., "The IPIN 2019 Indoor Localisation Competition—Description and Results," in IEEE Access, vol. 8, pp. 206674-206718, 2020, doi:10.1109/ACCESS.2020.3037221; http://hdl.handle.net/1822/70552Test

الإتاحة: https://doi.org/10.1109/ACCESS.2020.3037221Test
http://hdl.handle.net/1822/70552Test

المؤلفون: Renaudin, Valerie, Ortiz, Miguel, PERUL, Johan, Torres-Sospedra, Joaquín, Jiménez, Antonio R., Perez-Navarro, Antoni, Mendoza-Silva, Germán Martín, Seco, Fernando, Landau, Yael, Marbel, Revital, Ben-Moshe, Boaz, Zheng, Xingyu, Feng, Ye, Kuang, Jian, Li, Yu, Niu, Xiaoji, Landa, Vlad, Hacohen, Shlomi, shvalb, Nir, Lu, Chuanhua, Uchiyama, Hideaki

مصطلحات موضوعية: IPIN, competition, indoor positioning, smartphone

الوصف: 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.

وصف الملف: application/pdf

العلاقة: IEEE Access, 2019, vol. 7; https://ieeexplore.ieee.org/abstract/document/8852722Test; RENAUDIN, Valerie, et al. Evaluating indoor positioning systems in a shopping mall: The lessons learned from the IPIN 2018 competition. IEEE Access, 2019, vol. 7, p. 148594-148628.; http://hdl.handle.net/10234/189979Test; http://doi.org/10.1109/ACCESS.2019.2944389Test

الإتاحة: https://doi.org/10.1109/ACCESS.2019.2944389Test
http://hdl.handle.net/10234/189979Test

المؤلفون: Perul, Johan, Renaudin, Valerie

المصدر: IEEE Sensors Journal ; volume 22, issue 6, page 5270-5277 ; ISSN 1530-437X 1558-1748 2379-9153

مصطلحات موضوعية: Electrical and Electronic Engineering, Instrumentation

الإتاحة: https://doi.org/10.1109/jsen.2021.3086004Test
http://xplorestaging.ieee.org/ielx7/7361/9733818/09446152.pdf?arnumber=9446152Test

المؤلفون: Ponte Muller, Fabian, Munoz Diaz, Estefania, Perul, Johan, Renaudin, Valérie

المساهمون: German Aerospace Center (DLR), Géolocalisation (AME-GEOLOC), Université Gustave Eiffel

المصدر: 2020 IEEE Intelligent Vehicles Symposium
https://hal.science/hal-02940059Test
2020 IEEE Intelligent Vehicles Symposium, Oct 2020, LAS VEGAS, United States. 7p

مصطلحات موضوعية: PIETON, DETECTION, SIGNAL, TRAITEMENT DU SIGNAL, CAPTEUR, GNSS, GEOLOCALISATION, TELEMETRIE, BANDE ULTRA-LARGE, EXPERIMENTATION IN SITU, USAGERS DE LA ROUTE, SECURITE ROUTIERE, GEOLOCALISATION ET NAVIGATION PAR UN SYSTEME DE SATELLITES - GNSS, OBSERVATION IN SITU, [SPI]Engineering Sciences [physics]

جغرافية الموضوع: LAS VEGAS, United States

الوصف: 2020 IEEE Intelligent Vehicles Symposium, LAS VEGAS, ETATS-UNIS, 20-/10/2020 - 23/10/2020 ; 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\sigma-position accuracy.

العلاقة: hal-02940059; https://hal.science/hal-02940059Test

الإتاحة: https://hal.science/hal-02940059Test

المؤلفون: de Ponte Muller, Fabian, Diaz, Estefania Munoz, Perul, Johan, Renaudin, Valerie

المساهمون: German Aerospace Center DLR

المصدر: 2020 IEEE Intelligent Vehicles Symposium (IV)

الإتاحة: https://doi.org/10.1109/iv47402.2020.9304671Test
http://xplorestaging.ieee.org/ielx7/9304518/9304528/09304671.pdf?arnumber=9304671Test