Research on the Application of Deep learning in Pavement Damage Detection
At present,a relatively perfect highway network system has been formed in China,and the traffic state has been greatly improved. Highway resources are increasingly sufficient,followed by more and more highway maintenance problems. Fast and accurate acquisition of road damage data and detection is the focus of maintenance work. Since the emergence of deep learning,the detection technology based on deep learning has been widely used in various industries,and the automatic detection of pavement damage has been pushed to a new stage of development. This paper summarizes the application of road data acquisition methods and deep learning technology in the field of road defect detection.
deep learningpavement damage detectionroad damage image
NETL
NSTL
万方数据
