Abstract
Abstract
Road surface damage on high-grade highways has a serious impact on driving safety. Conventional road surface damage detection mainly adopts manual detection technology. The detection efficiency is low, and the detection results are easily disturbed by human factors, which is not conducive to objective and accurate evaluation of road damage. To solve the problems of accurate collection, efficient identification, and correct positioning of high-grade road surface damage data, the research group has studied the early warning technology of road surface damage. The proposed early warning technology scheme enables drivers to take preventive driving action in a timely manner, avoids the occurrence of traffic accidents, and provides drivers with reasonable avoidance schemes to effectively prevent the occurrence of traffic accidents.
Subject
Computer Science Applications,History,Education
Reference11 articles.
1. High-quality development of highway maintenance;Yang;China Highway,2021
2. A real-time automatic pavement crack and pothole recognition system or mobile Android-based devices;Tedeschi;Advanced Engineering Informatics,2017
3. Automated Detection of Multiple Pavement Defects;Radopoulou;Journal of Computing in Civil Engineering,2017
4. Research progress of automatic pavement damage image processing technology;Xu;Journal of Transportation Engineering,2019
5. Research on crack identification method of asphalt pavement based on BP neural network;Ying;Journal of Henan University of Technology (Natural Science Edition),2018