Machine Vision based Front Vehicle Detection Algorithm

Most common approaches of vehicle detection are using active sensor such as radar based, laser based and acoustic based. The second approach for vehicle detection is using optical sensor (camera), which is cost effective and robust one. This paper present vision based preceding vehicle detection algorithm. The features of front vehicle are extracted using edge detection. Blob analysis is utilized herein to locate position of the vehicle. To maintain safe distance between the two vehicles, algorithm also provides the longitudinal distance information. Driver can be getting alerted if distance is less than the safe range. With the help of this algorithm collision between the two vehicles can be avoided. The experimental results show that the detection rate is above 80%.