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https://hdl.handle.net/1822/70552
Título: | 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 |
Palavras-chave: | 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 |
Data: | 2020 |
Editora: | IEEE |
Revista: | IEEE Access |
Citação: | F. 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 |
Resumo(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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/70552 |
DOI: | 10.1109/ACCESS.2020.3037221 |
ISSN: | 2169-3536 |
Versão da editora: | https://ieeexplore.ieee.org/document/9253514 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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09253514.pdf | 5,6 MB | Adobe PDF | Ver/Abrir |