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 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.
Highlights
T HE International conference on Indoor Positioning and Indoor Navigation (IPIN), born in 2010, has been a reference for researchers and practitioners interested in systems, methods, techniques and technologies for indoor positioning and indoor navigation
While solutions based on Global Navigation Satellite System (GNSS) are successfully used outdoor, pinpointing the location of an indoor target requires the adoption of technologies that most often cannot exploit satellites because indoor obstacles, walls and, most of all, ceilings are all factors that significantly reduce the strength of satellite signals
In this paper we are interested in testing and evaluation of systems and, as a showcase, we fully describe the IPIN 2020 competition
Summary
T HE International conference on Indoor Positioning and Indoor Navigation (IPIN), born in 2010, has been a reference for researchers and practitioners interested in systems, methods, techniques and technologies for indoor positioning and indoor navigation. The confluence of EvAAL into the IPIN conference refined the methodology adopted to assess the performance, adding the following characteristics: no additional instrumentation allowed, non-overlapping competition Tracks, highly representative competition areas, easy-to-understand measurement statistics to define the final ranking of the tested systems. Appreciation of this format by competitors (both from academy and industry) and sponsors is reflected in the consistently growing attendance to the competition. To regulate the privacy consents asked of end-users in order to provide location-based services in accordance with the EU General Data Protection Regulation (GDPR) regulation framework
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