Review of Intelligent Road Defects Detection Technology

Yong Zhou, Xinming Guo, Fujin Hou and Jianqing Wu
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Yong Zhou: Shandong Hi-Speed Construction Management Group Co., Ltd., Jinan 250014, China
Xinming Guo: School of Qilu Transportation, Shandong University, Jinan 250002, China
Fujin Hou: Shandong Hi-Speed Construction Management Group Co., Ltd., Jinan 250014, China
Jianqing Wu: School of Qilu Transportation, Shandong University, Jinan 250002, China

Sustainability, 2022, vol. 14, issue 10, 1-19

Abstract: Road defects are important factors affecting traffic safety. In order to improve the identification efficiency of road diseases and the pertinence of maintenance and management, intelligent detection technologies of road diseases have been developed. The problems of high cost and low efficiency of artificial inspection of road diseases are solved efficiently, and the quality of road construction is improved availably. This is not only the guarantee of highway quality but also the guarantee of people’s lives and safety. This study focuses on the intelligent detection of road disease and summarizes the commonly used detection equipment in the intelligent detection technology of road diseases, which include cameras, GPR, LiDAR, and IMU. It systematically describes the evolution and development of road disease detection technology. This study analyzes the common problems existing in road disease detection technology and proposes corresponding improvement suggestions. Finally, the development trend of road detection technology is discussed, which has practical significance for the future development of road detection technology.

Keywords: intelligent transportation; defects detection; deep learning; image processing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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