Drivers require a safe and convenient driving environment when they are driving. Con- temporary vehicle safety systems have rapidly improved and gained public attention. The proposed system receives real-time images from a rear-mounted sheye camera and assists drivers in avoiding many dangerous conditions. Research indicates that driving accidents of- ten occur when drivers are switching lanes. Therefore, to improve driving safety, this study developed a system for predicting vehicle trajectory. When accidents are likely and risks are present, the system alerts the driver. An AdaBoost algorithm was employed for vehicle detection, and a Kalman lter was selected as the main component of the proposed system; it is an eective means for predicting the trajectories of approaching vehicles in the blind spots to prevent collisions from behind during lane switching.
1.Prediction of vehicle
2.Warning for collision situation
platform: Window 7
hardware specification: Intel I5
system demand: Ram: at least 4GB