eprintid: 10114428
rev_number: 27
eprint_status: archive
userid: 608
dir: disk0/10/11/44/28
datestamp: 2020-11-10 15:30:22
lastmod: 2021-09-17 22:49:14
status_changed: 2021-04-20 07:30:21
type: article
metadata_visibility: show
creators_name: Ma, C
creators_name: Selviah, D
creators_name: Wu, B
creators_name: Poslad, S
title: The IPIN 2019 Indoor Localisation Competition - Description and Results
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F46
note: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
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 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.
date: 2020-11-25
date_type: published
publisher: IEEE
official_url: https://doi.org/10.1109/ACCESS.2020.3037221
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1827503
doi: 10.1109/ACCESS.2020.3037221
lyricists_name: Ma, Chengqi
lyricists_name: Selviah, David
lyricists_id: MAXXX16
lyricists_id: DRSEL91
actors_name: Ma, Chengqi
actors_id: MAXXX16
actors_role: owner
full_text_status: public
publication: IEEE Access
volume: 8
pagerange: 206674 --206718
citation:        Ma, C;    Selviah, D;    Wu, B;    Poslad, S;      (2020)    The IPIN 2019 Indoor Localisation Competition - Description and Results.                   IEEE Access , 8    206674 --206718.    10.1109/ACCESS.2020.3037221 <https://doi.org/10.1109/ACCESS.2020.3037221>.       Green open access   
 
document_url: https://discovery-pp.ucl.ac.uk/id/eprint/10114428/1/Ma_09253514.pdf