يعرض 1 - 5 نتائج من 5 نتيجة بحث عن '"Wei, Dongyan"', وقت الاستعلام: 0.84s تنقيح النتائج
  1. 1
    دورية أكاديمية

    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.

    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

  2. 2
    دورية أكاديمية

    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.

    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

  3. 3
    دورية أكاديمية

    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, 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

    المساهمون: CNR Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo” Pisa (CNR, National Research Council of Italy, Universidade do Minho = University of Minho Braga, Institute of New Imaging Technologies, Unviersitat Jaume I, Castellón, Spain, Centre for Automation and Robotics (CAR), Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC)-Universidad Politécnica de Madrid (UPM), University Politecnica de Madrid, Centre for Automation and Robotics (UPM - CSIC), Universitat Oberta de Catalunya Barcelona (UOC), Géolocalisation (AME-GEOLOC), Université Gustave Eiffel, National Institute of Advanced Industrial Science and Technology (AIST), Université de Tsukuba = University of Tsukuba

    المصدر: ISSN: 1530-437X ; IEEE Sensors Journal ; https://hal.science/hal-04500584Test ; IEEE Sensors Journal, 2022, 22 (6), pp.5011-5054. ⟨10.1109/JSEN.2021.3083149⟩ ; https://ieeexplore-ieee-org.univ-eiffel.idm.oclc.org/document/9439493Test/.

    الوصف: International audience ; 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.

  4. 4
    دورية أكاديمية

    المساهمون: Géolocalisation (AME-GEOLOC), Université Gustave Eiffel, CNR Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo” Pisa (CNR, National Research Council of Italy, Universidade do Minho = University of Minho Braga, Hochschule für Technik Stuttgart (HTF Stuttgart), University of Calgary, Department of Mechanical and Aerospace Engineering Seoul, Seoul National University Seoul (SNU), Hokkaido University of Science, Aerospace Information Research Institute (AIRICAS), Chinese Academy of Sciences Beijing (CAS), Unit of Electrical Engineering Tampere University of applied sciences, Tampere University of Technology Tampere (TUT)

    المصدر: ISSN: 1530-437X ; IEEE Sensors Journal ; https://hal.science/hal-04414281Test ; IEEE Sensors Journal, 2022, 22 (6), pp.4754-4754. ⟨10.1109/JSEN.2022.3150130⟩ ; http://ieeexplore.ieee.org/xpl/RecentIssue.jsp/?punumber=7361Test.

    الوصف: International audience ; Indoor localization is a growing research field and interest is expanding in many application fields, including services, measurement, mapping, security, and standardization. The quest for appropriate tracking technologies for COVID-19 pandemic control has shown us the importance of identifying the sensors data and processing that are suitable, accurate, reliable, and respectful of privacy. A prominent area is, therefore, that of sensors, where both improved hardware solutions and more powerful data analysis are required.

    العلاقة: hal-04414281; https://hal.science/hal-04414281Test

  5. 5
    دورية أكاديمية

    المساهمون: Géolocalisation (AME-GEOLOC), Université Gustave Eiffel, CNR Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo” Pisa (CNR, National Research Council of Italy, Universidade do Minho = University of Minho Braga, Hochschule für Technik Stuttgart (HTF Stuttgart), University of Calgary, Department of Mechanical and Aerospace Engineering Seoul, Seoul National University Seoul (SNU), Hokkaido University of Science, Aerospace Information Research Institute (AIRICAS), Chinese Academy of Sciences Beijing (CAS), Unit of Electrical Engineering Tampere University of applied sciences, Tampere University of Technology Tampere (TUT)

    المصدر: ISSN: 1530-437X ; IEEE Sensors Journal ; https://hal.science/hal-04414281Test ; IEEE Sensors Journal, 2022, 22 (6), pp.4754-4754. ⟨10.1109/JSEN.2022.3150130⟩ ; http://ieeexplore.ieee.org/xpl/RecentIssue.jsp/?punumber=7361Test.

    الوصف: International audience ; Indoor localization is a growing research field and interest is expanding in many application fields, including services, measurement, mapping, security, and standardization. The quest for appropriate tracking technologies for COVID-19 pandemic control has shown us the importance of identifying the sensors data and processing that are suitable, accurate, reliable, and respectful of privacy. A prominent area is, therefore, that of sensors, where both improved hardware solutions and more powerful data analysis are required.

    العلاقة: hal-04414281; https://hal.science/hal-04414281Test