Study On DSP-based Lane Departure Warning System For Highway

With the rapid develop of vehicle industry in China, the vehicle population increase rapidly. Safety problems have become increasingly prominent for the high incidence of traffic accidents, particularly the serious accidents. Automotive safety technology emerged. It is the forefront of research in the field of vehicle engineering and refers to the vehicle engineering, artificial intelligence, automation, computers and other comprehensive technical fields theory.This article embarks from the vehicle active safety, has carried on some positive beneficial explorations in the vehicles safety warning area of technology. Studying the highway road mark identification and tracking algorithm, camera calibration and departure warning algorithm deeply and systematically. Providing technical and theoretical support for the LDWS (Lane Departure Warning System) becoming a product in China.The identification and tracking of road mark is the precondition and base for LDWS. A innovative road mark identification algorithm based on Heuristic Search is developed in the paper. The starting point is positioned according to the trapezia matching model, gray change property of lane markings and the restraint of real lane width. Then we search the lane edge point from the start point with the tolerance cost rule function. The lane boundary is matched by Hough transform with linear model. Tracking the lane boundary in OSA(Object Search Area) rapidly and accurately.The ubiety between camera and road surface will be changing caused by jolt of vehicle running. It will influence the calibration result badly. According with the inherent characteristic of the road and vehicle jolt feature, a dynamic compensation method for the camera external parameter is proposed in this paper. It can compensate the calibration error caused by jolt in dynamic and improve the calibration precision of camera.After analyzing the each characteristic of departure warning algorithm for time and space, and considering the running trends of vehicle, propose a new departure warning algorithm base on fusion of time and space information. It can lower the false alarming rate and let the LDWS approved by driver more easilyAccording the above research result, design the signal vision system composed of DSP (Digital Singnal Processor) hardware platform of BF561 and camera in-vehicle. It's function can meet the production prototypes requirement and verified by driving experiment of ten thousands kilometers. It will establish the strong basement for popularizing the LDWS in China.