Real-Time Electric Vehicle Collision Avoidance System Under Foggy Environment Using Raspberry Pi Controller and Image Processing Algorithm

摘要

Object detection in foggy weather is very difficult task, due to which many accidents take place on the road. The problem has been resolved by developing a system which provides safety feature to the people traveling in foggy ambient condition. The proposed system used an ultrasonic sensor for object detection and distance measurement. As soon as the object has reached within the specified distance range, the foggy image has been captured by Pi camera and processed with edge detection (Sobel operator) technique. The output obtained after processing has been displayed to the user, to give the exact idea about the object in front of it. This system ensures that there will not be any collision of electric vehicles as well as other vehicles due to poor visibility and helps in avoiding road accidents in foggy weather.