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학술지 Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competition
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Valerie Renaudin, Miguel Ortiz, Johan Perul, Joaquin Torres-Sospedra, Antonio Ramon Jimenez, Antoni Perez-Navarro, German Martin Mendoza-Silva, Fernando Seco,, Yael Landau, Revital Marbel, Boaz Ben-Moshe, Xingyu Zheng, Feng Ye, Jian Kuang, Yu Li, Xiaoji Niu, Vlad Landa, Shlomi Hacohen, Nir Shvalb, Chuanhua Lu, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, Rin-Ichiro Taniguchi, Zhenxing Ding, Feng Xu, Nikolai Kronenwett, 블라고, 이소연, 조은영, 전성우, 이창은, 박상준, Yonghyun Lee, Jehyeok Rew, Changjun Park, Hyeongyo Jeong, Jaeseung Han, Keumryeol Lee, Wenchao Zhang, Xianghong Li, Dongyan Wei, Ying Zhang, So Young Park, Chan Gook Park, Stefan Knauth, Georgios Pipelidis, Nikolaos Tsiamitros, Tomas Lungenstrass, Juan Pablo Morales, Jens Trogh, David Plets, Miroslav Opiela, Shih-Hau Fang, Yu Tsao, Ying-Ren Chien, Shi-Shen Yang, Shih-Jyun Ye, Muhammad Usman Ali, Soojung Hur, Yongwan Park
IEEE Access, v.7, pp.148594-148628
19HH2500, 보행자 위치공간 인지 증강 및 스포츠 경기력 분석을 위한 정밀측위 원천기술개발, 박상준
The Indoor Positioning and Indoor Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically. The objective of this competition is to establish a systematic evaluation methodology with rigorous metrics both for real-Time (on-site) and post-processing (off-site) situations, in a realistic environment unfamiliar to the prototype developers. For the IPIN 2018 conference, this competition was held on September 22nd, 2018, in Atlantis, a large shopping mall in Nantes (France). Four competition tracks (two on-site and two off-site) were designed. They consisted of several 1 km routes traversing several floors of the mall. Along these paths, 180 points were topographically surveyed with a 10 cm accuracy, to serve as ground truth landmarks, combining theodolite measurements, differential global navigation satellite system (GNSS) and 3D scanner systems. 34 teams effectively competed. The accuracy score corresponds to the third quartile (75th percentile) of an error metric that combines the horizontal positioning error and the floor detection. The best results for the on-site tracks showed an accuracy score of 11.70 m (Track 1) and 5.50 m (Track 2), while the best results for the off-site tracks showed an accuracy score of 0.90 m (Track 3) and 1.30 m (Track 4). These results showed that it is possible to obtain high accuracy indoor positioning solutions in large, realistic environments using wearable light-weight sensors without deploying any beacon. This paper describes the organization work of the tracks, analyzes the methodology used to quantify the results, reviews the lessons learned from the competition and discusses its future.
KSP 제안 키워드
3D scanners, Error metric, Floor detection, High accuracy, Horizontal positioning error, Indoor Positioning System(IPS), Indoor Positioning and Indoor Navigation, Indoor localization system, Lessons learned, Off-site, On-Site