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Title: PAIDS: toward pedestrian high-precision position and attribute information detection

Authors: Zhengshu Zhou; Saya Kitamura; Yousuke Watanabe; Shunya Yamada; Hiroaki Takada

Addresses: Graduate School of Informatics, Nagoya University, Nagoya, Japan ' School of Engineering, Nagoya University, Nagoya, Japan ' Institute of Innovation for Future Society, Nagoya University, Nagoya, Japan ' Institute of Innovation for Future Society, Nagoya University, Nagoya, Japan ' Graduate School of Informatics, Nagoya University, Nagoya, Japan

Abstract: Pedestrian detection sensors in road infrastructure and smartphone's built-in sensors have been used to detect and track pedestrians for road safety. Nevertheless, although pedestrian detection sensors in road infrastructure can detect pedestrians' high-precision position, they cannot acquire the accurate attribute information of pedestrians. On the other hand, smartphone sensors can send location information, user identifier, and the attribute information of a user, but it has a significant margin of error in GPS data. The defects of LiDAR and smartphone render acquiring a pedestrian's high-precision location and attribute information simultaneously impossible. Currently, few studies on the simultaneous acquisition of pedestrian high-precision position and attribute information have been conducted. In this paper, the authors propose a pedestrian position and attribute information detecting system to extract both pedestrian high-precision position and attribute information in real-time based on LiDAR and smartphone sensor fusion. Moreover, an experiment is carried out to evaluate the system.

Keywords: pedestrian positioning; pedestrian information; smartphone sensor; LiDAR; sensor fusion.

DOI: 10.1504/IJMA.2021.120380

International Journal of Mechatronics and Automation, 2021 Vol.8 No.4, pp.187 - 199

Received: 16 Sep 2021
Accepted: 28 Sep 2021
Published online: 18 Jan 2022 *