The IPIN 2019 indoor localisation competition-description and results

• Autor(es): 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
• Data: 2020
• Identificador Persistente: https://hdl.handle.net/1822/70552
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): benchmarking; 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
• Tipo de Documento: Artigo científico
• Idioma: Inglês
• Contribuidor(es): Universidade do Minho

Descrição

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.