Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/82092

TitleOff-line evaluation of indoor positioning systems in different scenarios: the experiences from IPIN 2020 competition
Author(s)Potorti, Francesco
Torres-Sospedra, Joaquín
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
Silva, Ivo Miguel Menezes
Pendão, Cristiano Gonçalves
Meneses, Filipe
Nicolau, Maria João
Costa, António
Moreira, Adriano
Cock, Cedric De
Plets, David
Opiela, Miroslav
Jakub Džama,
Zhang, Liqiang
Li, Hu
Chen, Boxuan
Liu, Yu
Yean, Seanglidet
Lim, Bo Zhi
Teo, Wei Jie
Lee, Bu Sung
Oh, Hong Lye
KeywordsSensor 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
Issue date15-Mar-2022
PublisherIEEE
JournalIEEE Sensors Journal
CitationF. Potortì et al., "Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition," in IEEE Sensors Journal, vol. 22, no. 6, pp. 5011-5054, 15 March15, 2022, doi: 10.1109/JSEN.2021.3083149.
Abstract(s)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.
TypeArticle
URIhttps://hdl.handle.net/1822/82092
DOI10.1109/JSEN.2021.3083149
ISSN1530-437X
Publisher versionhttps://ieeexplore.ieee.org/document/9439493
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais / Papers in international journals


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