Lane Departure Warning System Based On Fitting Classified Section

With the development of the vehicles and the highway,more and more people are concerned about the safety of the driver assistance,which plays an important role in Intelligent Transportation.Lane departure warning system,the core of the driver assistance system,prevents the driver from fatigue driving and keeps the vehicle in the middle of the lane.In this paper,a lane departure warning system is developed based on the machine vision,which is divided into three modules:Capture lane images from AVI video file. Lane detection based on fitting classified section.Lane departure warning strategy based on intercept of lane modules.(1) Capture lane images from AVI video file.In order to capture the frame of the road,a CCD camera will be loaded on vehicle to supervise the lane.Then we use API functions to open the AVI file,get the information of AVI file,read the streams of video,and closed the AVI file.(2) Lane detection based on fitting classified section.First,we get the binary image by the method of dual-threshold,and divide the image into two parts called near area and far area.Then,we put the similar lane candidates to the same class. According to the different classes of lane candidates,we get some line segments employing the linear regression method and least square's fitting.Finally,we join the line segments of different areas together.(3) Lane departure warning strategy based on intercept of lane modules.Warning strategy is divided into two parts,the one is called first static warning,and the other is called second dynamic warning.This warning strategy put the single frame and the frames sequence together,in order to get the right results.(4) Design and implement lane departure warning system with the tool called Visual C++6.0 under Windows operating system.It is divided into four modules: Image capture,Image pre-process,Lane detection and Lane departure warning.