Application Research Of Lane Line Detection Technology In Intelligent Transportation System

With the rapid development of society and the gradual improvement of the national economy,cars have become a popular means of transportation for people,and travel safety has naturally become one of the most concerned topics.According to the survey,the vast majority of traffic accidents are caused by the driver's wrong driving.In the context of such road traffic,intelligent transportation emerges as the times require.The intelligent transportation system has two important research objects:car-assisted driving and driverless driving,in which the car-assisted driving system is used as a safety guarantee for driving vehicles,when deviations occur or vehicles When the collision is about to be able to remind the driver to avoid the accident,the detection of the lane line is an important part of the auxiliary driving system such as lane departure warning,which has important research significance and value.The main work of this paper is as follows:1.Pre-process the acquired road image,including grayscale,filter smoothing and edge detection to eliminate noise interference and reduce the complex information brought by the background.On this basis,by comparing the advantages and disadvantages of the median intercept method and the Hough transform,the Hough transform is selected.Since the Hough transform includes the standard Hough transform and the cumulative probability Hough transform,the two Hough transforms are respectively simulated by the algorithm,and the experimental results are analyzed.2.Further fitting the experimental results of the cumulative probability Hough transfonn.The least square method is used to obtain the lane line fitting parameters,and then the vehicle position parameters are extracted to achieve the purpose of fitting.Then,the lane line is tracked by Kalman filtering algorithm to verify the real-time performance of the algorithm when the vehicle is running normally.3.Acquire the images under different road conditions for comparison experiments to verify the robustness of the lane detection algorithm.Then,based on the deviation warning model establishment and deviation decision-making,the application of lane departure warning is realized,and the feasibility of the lane departure decision strategy is verified.