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Review of 3D vision detection technology for pavement crack
The paper focuses on the emerging three-dimensional (3D) vision detection technology using in pavement crack detection, and takes 3D data acquisition, data preprocessing, crack feature extraction and identification as the main lines of idea, then provides a systematic review of 3D vision detection technology development for pavement cracks. Firstly, three commonly used 3D vision imaging techniques for pavement crack detection are analyzed, including measurement principle, measurement steps and technical characteristics. Secondly, 3D point cloud filtering methods are classified and compared. It lays a foundation for subsequent crack feature extraction and crack identification. Finally, the pavement crack detection method based on point cloud data is systematically sorted out. This paper provides reference for relevant researchers and application personnel to comprehensively and systematically understand the 3D vision detection technology of pavement cracks.
Review of 3D vision detection technology for pavement crack
The paper focuses on the emerging three-dimensional (3D) vision detection technology using in pavement crack detection, and takes 3D data acquisition, data preprocessing, crack feature extraction and identification as the main lines of idea, then provides a systematic review of 3D vision detection technology development for pavement cracks. Firstly, three commonly used 3D vision imaging techniques for pavement crack detection are analyzed, including measurement principle, measurement steps and technical characteristics. Secondly, 3D point cloud filtering methods are classified and compared. It lays a foundation for subsequent crack feature extraction and crack identification. Finally, the pavement crack detection method based on point cloud data is systematically sorted out. This paper provides reference for relevant researchers and application personnel to comprehensively and systematically understand the 3D vision detection technology of pavement cracks.
Review of 3D vision detection technology for pavement crack
Shao, Xiaopeng (editor) / Liu, Yue (author) / Gao, Xiaojuan (author) / Bai, Fuzhong (author) / Xu, Yongxiang (author)
Third International Computing Imaging Conference (CITA 2023) ; 2023 ; Sydney, Australia
Proc. SPIE ; 12921
2023-11-06
Conference paper
Electronic Resource
English
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