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Research on Vehicle Detection Algorithm of Driver Assistance System Based on Vision

Vehicle detection is the key component of driver assistance system based on computer vision. It is the basis for speed measurement, ranging and anti-collision. As an important part, it received wide attention and was developed rapidly in recent years. The complexity of the background environment and the real-time change brings great difficulty to vehicle detection. In this paper, a monocular camera is installed in front of the vehicle to collect images, and the digital image processing technology combined with machine learning is used for the vehicle detection. This process can be divided into two stages: the rapid positioning of the target and the target recognition. The experiments show that vehicles can be detected in the image quickly and effectively by this algorithm.