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The IPIN 2019 Indoor Localisation Competition—Description and Results

2020; Institute of Electrical and Electronics Engineers; Volume: 8; Linguagem: Inglês

10.1109/access.2020.3037221

2169-3536

Francesco Potortì, Sangjoon Park, Antonino Crivello, Filippo Palumbo, Michele Girolami, Paolo Barsocchi, Soyeon Lee, Joaquín Torres-Sospedra, Antonio R. Jiménez, Antoni Pérez-Navarro, Germán Martín Mendoza-Silva, Fernando Seco, Miguel Ortiz, Johan Perul, Valérie Renaudin, Hyunwoong Kang, Soyoung Park, Jae Hong Lee, Chan Gook Park, Jisu Ha, Jaeseung Han, Changjun Park, Keunhye Kim, Yonghyun Lee, Seunghun Gye, Keumryeol Lee, Eunjee Kim, Jeongsik Choi, Yang-Seok Choi, Shilpa Talwar, Seong Yun Cho, Boaz Ben‐Moshe, Alex Scherbakov, Leonid Antsfeld, Emilio Sansano‐Sansano, Boris Chidlovskii, Nikolai Kronenwett, Silvia Prophet, Yael Landay, Revital Marbel, Lingxiang Zheng, Ao Peng, Zhichao Lin, Bang Wu, Chengqi Ma, Stefan Poslad, David R. Selviah, Wei Wu, Zixiang Ma, Wenchao Zhang, Dongyan Wei, Hong Yuan, Jun-Bang Jiang, Shao-Yung Huang, Jingwen Liu, Kuan‐Wu Su, Jenq‐Shiou Leu, Kazuki Nishiguchi, Walid Bousselham, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, Rin‐ichiro Taniguchi, Vicente Cortes Puschel, Tomás Lungenstrass, Imran Ashraf, Chanseok Lee, Muhammad Usman Ali, Yong-Jun Im, Gunzung Kim, Jeongsook Eom, Soojung Hur, Yongwan Park, Miroslav Opiela, Adriano Moreira, Maria João Nicolau, Cristiano Pendão, Ivo Silva, Filipe Meneses, António Costa, Jens Trogh, David Plets, Ying‐Ren Chien, Tzu-Yu Chang, Shih‐Hau Fang, Yu Tsao,

Mobile Crowdsensing and Crowdsourcing

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.