Hardware architecture design for vehicle detection using a stereo camera

Vehicle detection systems are increasingly important in providing vehicle road safety. However, many problems remain, such as a limit in the number of vehicles detected, false vehicle detection, and large processing time. Thus, we propose an efficient method for vehicle detection. This paper simulates vehicle detection using a rectified image and a disparity image based on dedicated hardware architecture. Every vehicle detection function, including vehicle corner detection, vehicle region expansion, and vehicle region validation, is implemented using parallel architecture. Our proposed hardware architecture is suitable for real time processing using the dedicated hardware architecture. In addition, we can detect many vehicles in the rectified image and reduce the false detection of vehicles.