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The IPIN 2019 indoor localisation competition - Description and results
- Source :
- IEEE access 8 (2020): 206674–206718. doi:10.1109/ACCESS.2020.3037221, Repositório Científico de Acesso Aberto de Portugal, Repositório Científico de Acesso Aberto de Portugal (RCAAP), instacron:RCAAP
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers, Piscataway, NJ, Stati Uniti d'America, 2020.
-
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 m2 outdoors and and 6000 m2 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.<br />The authors would like to thank Siemens, the Electronic and Telecommunications Research Institute (ETRI), the Korean Institute of Communications and Information Sciences (KICS), Ganko Food, J-Power Systems, and the other sponsors who provided prizes for the winners of the competition (see http://ipin-conference.org/2019/awards.html for a complete list).
- Subjects :
- Sensor systems
foot-mounted pedestrian dead reckoning
magnetic field
camera-based positioning
Indoor localisation
Indoor navigation
inertial-based positioning
Atmospheric measurements
GeneralLiterature_MISCELLANEOUS
Stakeholders
smartphone-based positioning
Particle filter
Inertial-based positioning
benchmarking
Wireless fidelity
Smartphone-based positioning
GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Real-time systems
ComputingMilieux_MISCELLANEOUS
particle filter
sensor fusion
Sensor fusion
Science & Technology
Competition
Sensors
Particle measurements
indoor navigation
Engenharia Eletrotécnica, Eletrónica e Informática [Engenharia e Tecnologia]
Benchmarking
Magnetic field
Wi-Fi fingerprinting
Foot-mounted pedestrian dead reckoning
Camera-based positioning
Kalman filter
competition
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- IEEE access 8 (2020): 206674–206718. doi:10.1109/ACCESS.2020.3037221, Repositório Científico de Acesso Aberto de Portugal, Repositório Científico de Acesso Aberto de Portugal (RCAAP), instacron:RCAAP
- Accession number :
- edsair.dedup.wf.001..92b9d30e25e7569c67f25e034a5c1713