Abstract
IPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Tracks presented in this paper were set in the same environment, made of two buildings close together for a total usable area of 1000 m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> outdoors and and 6000 m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> indoors over three floors, with a total path length exceeding 500 m. IPIN competitions, based on the EvAAL framework, have aimed at comparing the accuracy performance of personal positioning systems in fair and realistic conditions: past editions of the competition were carried in big conference settings, university campuses and a shopping mall. Positioning accuracy is computed while the person carrying the system under test walks at normal walking speed, uses lifts and goes up and down stairs or briefly stops at given points. Results presented here are a showcase of state-of-the-art systems tested side by side in real-world settings as part of the on-site real-time competition Tracks. Results for off-site Tracks allow a detailed and reproducible comparison of the most recent positioning and tracking algorithms in the same environment as the on-site Tracks.
Highlights
Indoor positioning and navigation systems in the past decade have prompted considerable research activity both from academy and industry, due to the lack of readily available solutions able to provide indoor localisation information to location-based services
The overall performance of the system was relatively accurate we argue that, by using more robust tracking capabilities and combining the optical character recognition (OCR) landmark tracking with the particle filter, one can reach a GNSS-like accuracy in indoor scenarios
4) Kyushu University Team a: GIS-supported mapping for vSLAM-based global localisation system We present a global localisation system based on a Geographic Information System(GIS)-supported mapping with visual SLAM(vSLAM) [24]
Summary
Indoor positioning and navigation systems in the past decade have prompted considerable research activity both from academy and industry, due to the lack of readily available solutions able to provide indoor localisation information to location-based services. In 2016 the first official standard was published on testing and evaluation of localisation systems: ISO/IEC-18305 [1] defines a common language and describes procedures and metrics for describing the performance of localisation systems from many points of view in a variety of indoor environments. This is a fundamental step towards widespread adoption, as the definition of common evaluation criteria is expected to add transparency to the market and eventually increase stakeholders’ trust. Why is this necessary at all? In other words, why is it so difficult to compare indoor localisation systems?
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