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Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition

Potorti, F; Torres-Sospedra, J; Quezada-Gaibor, D; Jimenez, AR; Seco, F; Perez-Navarro, A; Ortiz, M; ... Oh, HL; + view all (2021) Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition. IEEE Sensors Journal 10.1109/jsen.2021.3083149. (In press). Green open access

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Abstract

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 1m for the Smartphone Track and 0.5m for the Footmounted IMU Track. While not running on physical systems, but only as algorithms, these results represent impressive achievements.

Type: Article
Title: Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/jsen.2021.3083149
Publisher version: https://doi.org/10.1109/JSEN.2021.3083149
Language: English
Additional information: © 2021 IEEE. This work is licensed under a Creative Commons Attribution 4.0 License(https://creativecommons.org/licenses/by/4.0/).
Keywords: Indoor Positioning and Navigation; Evaluation; Smartphone-based positioning; Foot-Mounted IMU; Positioning in Industrial Scenarios and Factories; Vehicle-positioning
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10128814
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