fanhongqi@nudt.edu.cn
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Hongqi Fan
National Key Laboratory of Automatic Target Recognition (ATR), National University of Defense Technology, Changsha 410073, China
Summary
Hongqi Fan received his B.S. degree in mechanical engineering and automation from Tsinghua University, Beijing, P.R. China, in 2001, and his Ph.D. degree in information and communication engineering from the National University of Defense Technology, Changsha, Hunan, P. R. China, in 2008. He is currently a professor at the National University of Defense Technology. His research interests include information fusion, target tracking, signal processing, Intelligent Guidance Systems.
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Free Access | Research Article | Feature Paper | 10 June 2024 | Cited: 1
Extraction of Motion Information from Occupancy Grid Map Using Keystone Transform
Chinese Journal of Information Fusion | Volume 1, Issue 1: 63-78, 2024 | DOI:10.62762/CJIF.2024.361892
Abstract
Considering the tractability of OGM (Occupancy Grid Map) and its wide use in the dynamic environment representation of mobile robotics, the extraction of motion information from successive OGMs are very important for many tasks, such as SLAM (Simultaneously Localization And Mapping) and DATMO (Detection and Tracking of Moving Object). In this paper, we propose a novel motion extraction method based on the signal transform, called as S-KST (Spatial Keystone Transform), for the motion detection and estimation from successive noisy OGMs. It extends the KST in radar imaging or motion compensation to 1D spatial case (1DS-KST) and 2D spatial case (2DS-KST) combined multiple hypotheses about poss... More >

Graphical Abstract
Extraction of Motion Information from Occupancy Grid Map Using Keystone Transform