Paper
23 November 2022 Calculation of pavement potholes depth index by 3D laser detection
Yue Liu, Yishu Zhou, Jinning Zhang, Lishuo Ren, Zhengwei Leng
Author Affiliations +
Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 123022W (2022) https://doi.org/10.1117/12.2645652
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China
Abstract
In order to realize the accurate automatic detection of the potholes depth index of asphalt pavement by laser 3D technology, an iterative datum fitting algorithm is proposed, and on this basis, two judgment methods of the depth index are proposed, and algorithm is developed for automatic recognition. The precision laser point cloud data of road surface was obtained by HandySCAN3D handheld laser 3D scanner, and the validity and accuracy of datum selection and potholes depth calculation algorithm were verified by internal step standard potholes model. The results show that the repeatability of measurement results is less than 5%, and the average error of measurement is less than 3%. The algorithm is further used to detect the actual potholes and compared with the measured results. The error is is less than 3% which verifies the feasibility in practice.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yue Liu, Yishu Zhou, Jinning Zhang, Lishuo Ren, and Zhengwei Leng "Calculation of pavement potholes depth index by 3D laser detection", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 123022W (23 November 2022); https://doi.org/10.1117/12.2645652
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KEYWORDS
Roads

Clouds

3D modeling

Data modeling

3D scanning

Laser applications

Detection and tracking algorithms

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