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Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
Jingjing Shi1,2,3, Mingrong Ren4,5,6, Pu Wang7,8,9
1College of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China. shijingjing123@emails.bjut.edu.cn.
This study introduces a novel indoor pedestrian positioning algorithm using particle filter-SLAM and inertial measurement units. It improves accuracy by creating feature point maps and correcting heading errors without prior map knowledge.
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