中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition

文献类型:期刊论文

作者Potorti, Francesco3; Torres-Sospedra, Joaquin4; Quezada-Gaibor, Darwin5,6; Jimenez, Antonio Ramon7; Seco, Fernando7; Perez-Navarro, Antoni8,9; Ortiz, Miguel10; Zhu, Ni10; Renaudin, Valerie10; Ichikari, Ryosuke11
刊名IEEE SENSORS JOURNAL
出版日期2022-03-15
卷号22期号:6页码:5011-5054
ISSN号1530-437X
关键词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
DOI10.1109/JSEN.2021.3083149
英文摘要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.
WOS研究方向Engineering ; Instruments & Instrumentation ; Physics
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000770054800030
源URL[http://119.78.100.204/handle/2XEOYT63/18930]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Torres-Sospedra, Joaquin; Crivello, Antonino
作者单位1.Never Labs Europe, F-38240 Meylan, France
2.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Peoples R China
3.CNR, Informat Sci & Technol Inst, I-56124 Pisa, Italy
4.UBIK Geospatial Solut SL, Castellon de La Plana 12006, Spain
5.Univ Jaume 1, Inst New Imaging Technol, Castellon de La Plana 12006, Spain
6.Tampere Univ, Elect Engn Unit, Tampere 33100, Finland
7.Ctr Automat & Robot CSIC UPM, Arganda Del Rey 28500, Spain
8.Univ Oberta Catalunya, Fac Comp Sci Multimedia & Telecommun, Barcelona 08860, Spain
9.Univ Oberta Catalunya, Internet Interdisciplinary Inst IN3, Barcelona 08860, Spain
10.Univ Gustave Eiffel, IFSTTAR, AME GEOLOC, F-44344 Bouguenais, France
推荐引用方式
GB/T 7714
Potorti, Francesco,Torres-Sospedra, Joaquin,Quezada-Gaibor, Darwin,et al. Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition[J]. IEEE SENSORS JOURNAL,2022,22(6):5011-5054.
APA Potorti, Francesco.,Torres-Sospedra, Joaquin.,Quezada-Gaibor, Darwin.,Jimenez, Antonio Ramon.,Seco, Fernando.,...&Oh, Hong Lye.(2022).Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition.IEEE SENSORS JOURNAL,22(6),5011-5054.
MLA Potorti, Francesco,et al."Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition".IEEE SENSORS JOURNAL 22.6(2022):5011-5054.

入库方式: OAI收割

来源:计算技术研究所

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