The IPIN 2019 Indoor Localisation Competition—Description and Results

descriptionPublicationkeyboard_double_arrow_right Article , Other ORP type 01 Jan 2020 Portugal, Italy, United Kingdom, Belgium, France, Germany, Germany, Spain, Italy Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Access, volume 8, pages 206,674-206,718 (eissn: 2169-3536,

Copyright policy )Funded by:EC | MONUMENTSLAB

Authors: Francesco Potortì; Sangjoon Park; Antonino Crivello; Filippo Palumbo; Michele Girolami; Paolo Barsocchi; Soyeon Lee; +79 Authors

APC: 1,548.22 EUR

doi: 10.1109/access.2020.3037221 , 10.5445/ir/1000130123

handle: 10261/232089 , 20.500.14243/382775 , 10234/200929 , 1822/70552 , 1854/LU-8691827

The IPIN 2019 Indoor Localisation Competition—Description and Results

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Abstract

PIN 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 2 outdoors and and 6000 m 2 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.

Countries

Portugal, Italy, United Kingdom, Belgium, France, Germany, Germany, Spain, Italy

Related Organizations

Spanish National Research Council
Spain
Seoul National University
Korea (Republic of)
French Institute of Science and Technology for Transport, Spatial Planning, Development and Networks
France
University of Gujrat
Pakistan
Karlsruhe Institute of Technology
Germany

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Keywords

ddc:620, INTERIEUR - GEOLOCATION - GEOLOCALISATION - POSITIONING - POSITIONNEMENT - LOCALIZATION - LOCALISATION - POSITION LOCATOR DEVICES - DISPOSITIFS DE LOCALISATION DE POSITION - INDOOR LOCALIZATION - LOCALISATION EN INTERIEUR - INDOOR NAVIGATION - NAVIGATION INTERIEURE - COMPETITION - SMARTPHONE-BASED POSITIONING - POSITIONNEMENT PAR SMARTPHONE - BENCHMARKING - ANALYSE COMPARATIVE - PEDESTRIAN DEAD RECKONING - NAVIGATION A L&apos, Sensor systems, Technology and Engineering, [SPI] Engineering Sciences [physics], foot-mounted pedestrian dead reckoning, magnetic field, camera-based positioning, INFORMATION GEOGRAPHIQUE - INDOOR POSITIONING AND INDOOR NAVIGATION - POSITIONNEMENT ET NAVIGATION A L&apos, Indoor localisation, Indoor navigation, Atmospheric measurements, inertial-based positioning, stakeholders, Stakeholders, smartphone-based positioning, Particle filter, Inertial-based positioning, sensor systems, Wireless fidelity, benchmarking, Smartphone-based positioning, atmospheric measurements, Real-time systems, Engineering & allied operations, sensor fusion, particle filter, Sensor fusion, Competition, Sensors, ESTIME - WI-FI FINGERPRINTING - EMPREINTES NUMERIQUES WI-FI - MAGNETIC FIELD - CHAMP MAGNETIQUE - CAMERABASED POSITIONING - POSITIONNEMENT PAR CAMERA - INERTIAL-BASED POSITIONING - POSITIONNEMENT PAR INERTIE - SENSOR FUSION - FUSION DES CAPTEURS - KALMAN FILTER - FILTRE DE KALMAN - PARTICLE FILTER - FILTRE A PARTICULES, particle measurements, Particle measurements, indoor navigation, CONSTRAINT, 620, Benchmarking, real-time systems, Magnetic field, Wi-Fi fingerprinting, Foot-mounted pedestrian dead reckoning, Camera-based positioning, Kalman filter, competition, GEOGRAPHIC INFORMATION SYSTEMSYSTEME D&apos, info:eu-repo/classification/ddc/620, indoor localisation, wireless fidelity

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