Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/70552

TitleThe IPIN 2019 indoor localisation competition-description and results
Author(s)Potorti, Francesco
Park, Sangjoon
Crivello, Antonino
Palumbo, Filippo
Girolami, Michele
Barsocchi, Paolo
Lee, Soyeon
Torres-Sospedra, Joaquín
Ruiz, Antonio Ramon Jimenez
Perez-Navarro, Antoni
Mendoza-Silva, German Martin
Seco, Fernando
Ortiz, Miguel
Perul, Johan
Renaudin, Valerie
Kang, Hyunwoong
Park, Soyoung
Lee, Jae Hong
Park, Chan Gook
Ha, Jisu
Han, Jaeseung
Park, Changjun
Kim, Keunhye
Lee, Yonghyun
Gye, Seunghun
Lee, Keumryeol
Kim, Eunjee
Choi, Jeong Sik
Choi, Yang Seok
Talwar, Shilpa
Cho, Seong Yun
Ben-Moshe, Boaz
Scherbakov, Alex
Antsfeld, Leonid
Sansano-Sansano, Emilio
Chidlovskii, Boris
Kronenwett, Nikolai
Prophet, Silvia
Landay, Yael
Marbel, Revital
Zheng, Lingxiang
Peng, Ao
Lin, Zhichao
Wu, Bang
Ma, Chengqi
Poslad, Stefan
Selviah, David R.
Wu, Wei
Ma, Zixiang
Zhang, Wenchao
Wei, Dongyan
Yuan, Hong
Jiang, Jun-Bang
Huang, Shao-Yung
Liu, Jing-Wen
Su, Kuan-Wu
Nishiguchi, Kazuki
Bousselham, Walid
Uchiyama, Hideaki
Thomas, Diego
Shimada, Atsushi
Taniguchi, Rin-Ichiro
Cortes Puschel, Vicente
Lungenstrass Poulsen, Tomas
Ashraf, Imran
Lee, Chanseok
Ali, Muhammad Usman
Im, Yeongjun
Kim, Gunzung
Eom, Jeongsook
Hur, Soojung
Park, Yongwan
Opiela, Miroslav
Moreira, Adriano
Nicolau, Maria João
Pendão, Cristiano Gonçalves
Silva, Ivo Miguel Menezes
Meneses, Filipe
Costa, António
Trogh, Jens
Plets, David
Chien, Ying-Ren
Chang, Tzu-Yu
Fang, Shih-Hau
Tsao, Yu
Keywordsbenchmarking
camera-based positioning
competition
foot-mounted pedestrian dead reckoning
Indoor localisation
indoor navigation
inertial-based positioning
Kalman filter
magnetic field
particle filter
sensor fusion
smartphone-based positioning
Wi-Fi fingerprinting
Sensors
Wireless fidelity
Sensor systems
Real-time systems
Particle measurements
Atmospheric measurements
Stakeholders
Issue date2020
PublisherIEEE
JournalIEEE Access
CitationF. Potortì et al., "The IPIN 2019 Indoor Localisation Competition—Description and Results," in IEEE Access, vol. 8, pp. 206674-206718, 2020, doi: 10.1109/ACCESS.2020.3037221
Abstract(s)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.
TypeArticle
URIhttps://hdl.handle.net/1822/70552
DOI10.1109/ACCESS.2020.3037221
ISSN2169-3536
Publisher versionhttps://ieeexplore.ieee.org/document/9253514
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais / Papers in international journals

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