In the paper,the design scheme of a pavement pothole embedded detection system based on deep learning network is proposed,which aims to improve the efficiency of road surface maintenance inspection and reduce highway maintenance costs.The system first trains the network model through a large number of sample data,obtains the optimal model,and then deploys the optimal model to NVIDIA TX2,and finally automatically detects the road potholes through the on-board camera,and submits the road pothole information to the road maintenance department to realize the automatic inspection of the road potholes.
Key words
pavement potholes detection /
NVIDIA TX2 /
deep learning /
YOLOv5S
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