Review of 3D vision detection technology for pavement crack

Yue Liu; Xiaojuan Gao; Fuzhong Bai; Yongxiang Xu

doi:10.1117/12.2691724

6 November 2023 Review of 3D vision detection technology for pavement crack

Yue Liu, Xiaojuan Gao, Fuzhong Bai, Yongxiang Xu

Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 1292140 (2023) https://doi.org/10.1117/12.2691724
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia

Abstract

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.

Citation Download Citation

Yue Liu, Xiaojuan Gao, Fuzhong Bai, and Yongxiang Xu "Review of 3D vision detection technology for pavement crack", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 1292140 (6 November 2023); https://doi.org/10.1117/12.2691724

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