Highway maintenance inspection technology and application based on autonomous vehicles
YAN Can-ze
LI Zhao
Abstract：To address the issues of low efficiency and high manpower input in traditional road inspection and maintenance techniques,this paper proposes an inspection technology that combines a portable on-board terminal with autonomous vehicles.The technology involves the automated collection of road surface images through a data collection terminal installed on autonomous vehicles.An SSD road surface defect detection model is established to process the collected data in real-time.The detection results are visualized and displayed through a backend highway inspection management platform,assisting road maintenance departments in decision-making.This method has been demonstrated in Suzhou's Xiangcheng district,with results showing that the proposed highway maintenance inspection technology based on autonomous vehicles achieves a defect identification accuracy of 91.55%,and increases the efficiency of manual inspection by 40%.The technology demonstrates significant and widespread practical value.
Keywords：autonomous drivinghighway maintenance inspectiondeep learningdigital management
Publication Date：2024-01-28
Pages：4( 5-8 )