Research on Rural Intersection Solar Smart Lighting System Based on Deep Learning
Traffic accidents often occur at intersections in rural areas.In order to develop intelligent lighting systems capable of adaptive brightness adjustment,the study identifies vehicles and pedestrians near intersections with deep learning image processing technology,and provides early warning for drivers and pedestrians through intelligent control of lighting equipment brightness,thus reduces the night accident rate and lighting energy consumption.The system is composed of hardware devices,intelligent lighting control software and intelligent intersection lighting early warning scheme.The intelligent lighting system is developed based on Lab VIEW.The lighting control software is composed of lighting control module,parameter setting module and video monitoring module,which is used for collaborative control,remote monitoring and fault detection of hardware devices.In the intersection smart lighting early warning scheme,YOLOv8+DeepSORT algorithm is used to predict the road user trajectory and build a dynamic lighting early warning scheme based on the driver's perception.The test results show that the system can effectively reduce the occurrence of traffic accidents,and provide an effective solution for the problem of nighttime driving safety and lighting energy consumption at intersections in rural areas.It has a good application prospect.
万方数据
维普
