المؤلفون: Potortì, Francesco, Crivello, Antonino, Lee, Soyeon, Vladimirov, Blagovest, Park, Sangjoon, Chen, Yushi, Wang, Long, Chen, Runze, Zhao, Fang, Zhuge, Yue, Luo, Haiyong, Perez-Navarro, Antoni, Jiménez, Antonio, Wang, Han, Liang, Hengyi, de Cock, Cedric, Plets, David, Cui, Yan, Xiong, Zhi, Li, Xiaodong, Ding, Yiming, Franco, Fernando Javier Álvarez, Polo, Fernando Jesús Aranda, Rodríguez, Felipe Parralejo, Moreira, Adriano, Pendão, Cristiano, Silva, Ivo, Ortiz, Miguel, Zhu, Ni, Li, Ziyou, Renaudin, Valerie, Wei, Dongyan, Ji, Xinchun, Zhang, Wenchao, Wang, Yan, Ding, Longyang, Kuang, Jian, Zhang, Xiaobing, Dou, Zhi, Yang, Chaoqun, Kram, Sebastian, Stahlke, Maximilian, Mutschler, Christopher, Coene, Sander, Li, Chenglong, Venus, Alexander, Leitinger, Erik, Tertinek, Stefan, Witrisal, Klaus, Wang, Yi, Wang, Shaobo, Jin, Beihong, Zhang, Fusang, Su, Chang, Wang, Zhi, Li, Siheng, Li, Shitao, Pan, Mengguan, Zheng, Wang, Luo, Kai, Ma, Ziyao, Gao, Yanbiao, Chang, Jiaxing, Ren, Hailong, Guo, Wenfang, Torres-Sospedra, Joaquín

المساهمون: CNR Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo” Pisa (CNR, National Research Council of Italy, Electronics and Telecommunications Research Institute DaeJeon (ETRI), School of Electronics and Information Engineering Harbin, Chine, Harbin Institute of Technology (HIT), Laboratoire de Linguistique Formelle (LLF - UMR7110), Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Universitat Oberta de Catalunya Barcelona (UOC), Centre for Automation and Robotics (CAR), Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC)-Universidad Politécnica de Madrid (UPM), Department of Engineering Science Oxford, Institute of Biomedical Engineering Oxford (IBME), University of Oxford-University of Oxford, Universiteit Gent = Ghent University (UGENT), University of Massachusetts Lowell (UMass Lowell), University of Massachusetts System (UMASS), National University of Singapore (NUS), Géolocalisation (AME-GEOLOC), Université Gustave Eiffel

المصدر: ISSN: 2832-7322.

مصطلحات موضوعية: Smartphones, Sensors, Navigation, Tracking, 5G mobile communication, Training, Sensor systems, [SPI]Engineering Sciences [physics]

الوصف: International audience ; Indoor positioning is a thriving research area which is slowly gaining market momentum. Its applications are mostly customised, ad hoc installations; ubiquitous applications analogous to GNSS for outdoors are not available because of the lack of generic platforms, widely accepted standards and interoperability protocols. In this context, the Indoor Positioning and Indoor Navigation (IPIN) competition is the only long-term, technically sound initiative to monitor the state of the art of real systems by measuring their performance in a realistic environment. Most competing systems are pedestrian-oriented and based on the use of smartphones, but several competing Tracks were set up, enabling comparison of an array of technologies. The two IPIN competitions described here include only off-site Tracks. In contrast with on-site Tracks where competitors bring their systems on site - which were impossible to organise during 2021 and 2022 - in off-site Tracks competitors download pre-recorded data from multiple sensors and process them using the EvaalAPI, a real-time, web-based emulation interface. As usual with IPIN competitions, Tracks were compliant with the EvAAL framework, ensuring consistency of the measurement procedure and reliability of results. The main contribution of this work is to show a compilation of possible indoor positioning scenarios and different indoor positioning solutions to the same problem.

العلاقة: hal-04467171; https://hal.science/hal-04467171Test

الإتاحة: https://doi.org/10.1109/JISPIN.2024.3355840Test
https://hal.science/hal-04467171Test

المؤلفون: Potorti, Francesco, Torres-Sospedra, Joaquin, Quezada-Gaibor, Darwin, Jimenez, Antonio Ramon, Seco, Fernando, Perez-Navarro, Antoni, Ortiz, Miguel, Zhu, Ni, Renaudin, Valerie, Ichikari, Ryosuke, Shimomura, Ryo, Ohta, Nozomu, Nagae, Satsuki, Kurata, Takeshi, Wei, Dongyan, Ji, Xinchun, Zhang, Wenchao, Kram, Sebastian, Stahlke, Maximilian, Mutschler, Christopher, Crivello, Antonino, Barsocchi, Paolo, Girolami, Michele, Palumbo, Filippo, Chen, Ruizhi, Wu, Yuan, Li, Wei, Yu, Yue, Xu, Shihao, Huang, Lixiong, Liu, Tao, Kuang, Jian, Niu, Xiaoji, Yoshida, Takuto, Nagata, Yoshiteru, Fukushima, Yuto, Fukatani, Nobuya, Hayashida, Nozomi, Asai, Yusuke, Urano, Kenta, Ge, Wenfei, Lee, Nien-Ting, Fang, Shih-Hau, Jie, You-Cheng, Young, Shawn-Rong, Chien, Ying-Ren, Yu, Chih-Chieh, Ma, Chengqi, Wu, Bang, Zhang, Wei, Wang, Yankun, Fan, Yonglei, Poslad, Stefan, Selviah, David R., Wang, Weixi, Yuan, Hong, Yonamoto, Yoshitomo, Yamaguchi, Masahiro, Kaichi, Tomoya, Zhou, Baoding, Liu, Xu, Gu, Zhining, Yang, Chengjing, Wu, Zhiqian, Xie, Doudou, Huang, Can, Zheng, Lingxiang, Peng, Ao, Jin, Ge, Wang, Qu, Luo, Haiyong, Xiong, Hao, Bao, Linfeng, Zhang, Pushuo, Zhao, Fang, Yu, Chia-An, Hung, Chun-Hao, Antsfeld, Leonid, Chidlovskii, Boris, Jiang, Haitao, Xia, Ming, Yan, Dayu, Li, Yuhang, Dong, Yitong, Silva, Ivo, Pendao, Cristiano, Meneses, Filipe, Nicolau, Maria Joao, Costa, Antonio, Moreira, Adriano, De Cock, Cedric, Plets, David, Opiela, Miroslav, Dzama, Jakub, Zhang, Liqiang, Li, Hu, Chen, Boxuan, Liu, Yu, Yean, Seanglidet, Lim, Bo Zhi, Teo, Wei Jie, Lee, Bu Sung, Oh, Hong Lye

المصدر: IEEE SENSORS JOURNAL ; ISSN: 1530-437X ; ISSN: 1558-1748

مصطلحات موضوعية: Technology and Engineering, Sensor phenomena and characterization, Indoor navigation, Testing, Standards, Satellite broadcasting, Recurrent neural networks, Received, signal strength indicator, Indoor positioning and navigation, evaluation, smartphone-based positioning, foot-mounted IMU, positioning, in industrial scenarios and factories, vehicle-positioning, ALGORITHM, TRACKING

الوصف: Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoor positioning and navigation purposes. Through fair comparison of the performance achieved by each system, the competition was able to identify the most promising approaches and to pinpoint the most critical working conditions. In 2020, the competition included 5 diverse off-site off-site Tracks, each resembling real use cases and challenges for indoor positioning. The results in terms of participation and accuracy of the proposed systems have been encouraging. The best performing competitors obtained a third quartile of error of 1 m for the Smartphone Track and 0.5 m for the Foot-mounted IMU Track. While not running on physical systems, but only as algorithms, these results represent impressive achievements.

وصف الملف: application/pdf

العلاقة: https://biblio.ugent.be/publication/01GS5EA7FVS5H6V3JV701W9FT0Test; http://hdl.handle.net/1854/LU-01GS5EA7FVS5H6V3JV701W9FT0Test; http://dx.doi.org/10.1109/JSEN.2021.3083149Test; https://biblio.ugent.be/publication/01GS5EA7FVS5H6V3JV701W9FT0/file/01GS5EFHGJN5KP7BVV8TBA4Q0KTest

الإتاحة: https://doi.org/10.1109/JSEN.2021.3083149Test
https://biblio.ugent.be/publication/01GS5EA7FVS5H6V3JV701W9FT0Test
http://hdl.handle.net/1854/LU-01GS5EA7FVS5H6V3JV701W9FT0Test
https://biblio.ugent.be/publication/01GS5EA7FVS5H6V3JV701W9FT0/file/01GS5EFHGJN5KP7BVV8TBA4Q0KTest

المؤلفون: Zhang, Wenchao¹ zhangwenchao@aoe.ac.cn, Wei, Dongyan¹ weidy@aircas.ac.cn, Yuan, Hong¹ yuanhong@aircas.ac.cn, Yang, Guang¹ yangguang@aircas.ac.cn

المصدر: IEEE Transactions on Instrumentation & Measurement. 2021, Vol. 70, p1-14. 14p.

مصطلحات موضوعية: CONSTRAINT algorithms, PEDESTRIANS, FOOT

مستخلص: The inertial-based pedestrian dead reckoning (PDR) system assisted by zero-velocity update (ZUPT) algorithm has been widely researched, as it can independently provide effective pedestrian’s position in indoor environment. However, in the realistic test, the system still often suffers from drift, due to the ZUPT algorithm’s poor observation of system’s heading. In this article, based on full analysis of the existing maximum range constraint algorithm between both-side feet, first, a constraint method based on the maximum distance of one-side foot has been proposed. It mainly uses the principle that the distance between the position of one-side foot at current time and that of the previous stationary instant should be within a maximum range. Second, a one-side foot and both-side feet cooperative maximum range constraint algorithm has been proposed. It mainly uses the one-side foot maximum range and the both-side feet maximum range to intersect the most likely position of pedestrian’s current moving foot and then uses this position to constrain the heading divergence. Finally, to further improve the heading constraint accuracy, a maximum range decoupling algorithm has been proposed, which decouples the maximum ranges of one-side foot and both-side feet into the distance in the forward direction. Then, using this distance, the heading divergence can be constrained more effectively. [ABSTRACT FROM AUTHOR]

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