Article: 3D profile-based pothole segmentation and quantification Journal: International Journal of Hydromechatronics (IJHM) 2024 Vol.7 No.1 pp.16 - 30 Abstract: With the increasing traffic load, pavement distresses are caused inevitably. Water penetration and extreme weather condition speed up the deterioration of pavements and cause the occurrence of potholes. Automated pothole inspection methods have been developed with both 2D and 3D-based imaging techniques for many years. However, the performances suffer from either accuracy or efficiency. In this paper, a 3D profile-based solution is proposed to inspect potholes with high accuracy and efficiency. A low-cost stereo imaging system is deployed to generate the 3D pothole profile, and an algorithm integrating region growing is developed to segment potholes. The pothole volume is calculated based on the segmentation results and the depth information. Overall, the proposed method outperforms the existing method by 1.72% and 5.192% in pothole segmentation and quantification, respectively. Moreover, the proposed method has no demand for large-scale datasets and training procedures, thus reducing time and labour costs. Inderscience Publishers - linking academia, business and industry through research

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Title: 3D profile-based pothole segmentation and quantification

Authors: Zhihao Pan; Jinchao Guan; Xu Yang; Anthony Guo; Xin Wang

Addresses: School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Malaysia ' School of Highway, Chang'an University, Middle-Section of Nan'er Huan Road, Xi'an, 710064 ShaanXi Province, China ' College of Future Transportation, Chang'an University, Middle-Section of Nan'er Huan Road, Xi'an, 710064 ShaanXi Province, China ' School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Malaysia ' School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Malaysia

Abstract: With the increasing traffic load, pavement distresses are caused inevitably. Water penetration and extreme weather condition speed up the deterioration of pavements and cause the occurrence of potholes. Automated pothole inspection methods have been developed with both 2D and 3D-based imaging techniques for many years. However, the performances suffer from either accuracy or efficiency. In this paper, a 3D profile-based solution is proposed to inspect potholes with high accuracy and efficiency. A low-cost stereo imaging system is deployed to generate the 3D pothole profile, and an algorithm integrating region growing is developed to segment potholes. The pothole volume is calculated based on the segmentation results and the depth information. Overall, the proposed method outperforms the existing method by 1.72% and 5.192% in pothole segmentation and quantification, respectively. Moreover, the proposed method has no demand for large-scale datasets and training procedures, thus reducing time and labour costs.

Keywords: pothole segmentation; pothole quantification; stereo imaging; region growing.

DOI: 10.1504/IJHM.2024.135980

International Journal of Hydromechatronics, 2024 Vol.7 No.1, pp.16 - 30

Received: 11 Mar 2023
Accepted: 19 Apr 2023
Published online: 11 Jan 2024 *

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Title: 3D profile-based pothole segmentation and quantification

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