Research on Dynamic Obstacle Recognition Algorithm based on Millimeter-Wave Radar

Due to the low-lying unevenness of the road surface, multipath propagation, reflection of small objects, etc, the final radar image is presented when there are a large number of non-moving objects or small objects to interfere in the use of millimeter-wave radar for the detection of dynamic obstacle...

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Bibliographic Details
Published inInternational Conference on Systems and Informatics pp. 1 - 6
Main Authors Zhu, Lizhou, Yan, Huabin, Gao, Chen, Sa, Jiming
Format Conference Proceeding
LanguageEnglish
Published IEEE 14.12.2024
Subjects
Accuracy
Filtering algorithms
Heuristic algorithms
Interference
Kalman filtering
Kalman filters
Millimeter wave radar
Radar cross-sections
Radar detection
Radar imaging
radar reflection cross-sectional area
Runtime
Online AccessGet full text
ISSN2689-7148
DOI10.1109/ICSAI65059.2024.10893804

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Summary:Due to the low-lying unevenness of the road surface, multipath propagation, reflection of small objects, etc, the final radar image is presented when there are a large number of non-moving objects or small objects to interfere in the use of millimeter-wave radar for the detection of dynamic obstacles. Aiming at the above situation, an optimized filtering algorithm for moving large objects is proposed, using Kalman filtering and radar reflection cross-sectional area for comprehensive analysis, to exclude the interface ghosting and interference caused by stationary or small objects. The experimental results show that the method has high recognition and accuracy.
ISSN:2689-7148
DOI:10.1109/ICSAI65059.2024.10893804