Lane departure early warning method

Abstract

The invention discloses a lane departure early warning method, which comprises a lane departure early warning system, wherein the lane departure early warning system comprises an image acquisition unit, a vehicle CAN bus, a control unit, a displayer, an audio coding and decoding unit, a buzzer, a security digital (SD) card and a loudspeaker, wherein the image acquisition unit, the vehicle CAN bus and the control unit are connected in two ways; the displayer, the audio coding and decoding unit, the buzzer and the SD card are connected with a control unit; and the audio coding and decoding unit is connected with a loudspeaker. The method disclosed by the invention can provide an in-time and effective early warning mechanism for the lane departure of an automobile, divide conditions of road ahead into far visual field road conditions and short visual field road conditions according to the calibration result of an image acquisition unit, provide near visual field lane departure early warning and far visual field inner curve lane vehicle speed early warning methods and effectively reduce traffic accidents.

Description

technical field [0001] The invention relates to the technical field of automotive electronics, in particular to a road departure warning method. Background technique [0002] The increasing number of cars has led to the emergence of new technologies for car safety, and the lane departure warning system has emerged as the times require. When the car is running at high speed, the lane departure system can effectively reduce the fatigue of the driver and reduce the probability of traffic accidents. It is an automobile safety technology worthy of vigorous research and promotion. The lane departure warning system based on the vision system has been the most widely used due to its low cost, wide application range, and convenient implementation. At this stage, there are many lane departure warning products based on the vision system abroad, such as the Netherlands Mobile Eye C2 series, AURORA system developed by Carnegie Mellon University; there are also some research and developm...

AI Technical Summary

Problems solved by technology

The lane departure warning system based on the vision system has been the most widely used due to its low cost, wide application range, and convenient implementation. At this stage, there are many lane departure warning products based on the vision system abroad, such as the Netherlands Mobile Eye C2 series, AURORA system developed by Carnegie Mellon University; there are also some research and development patents and related papers in China. The patent number is CN201633623U, an alarm that can be used for lane departure warning devices. It only studies the design method of the alarm output terminal. There is no specific control strategy related to the lane departure system; a lane departure warning device and warning method of the patent number CN101794367A, which needs to be equipped with a vehicle yaw acceleration sensor; a lane departure warning and driving recording system and method of the patent number CN101992778 and The Hough transform-based lane departure warning device of patent No. CN201712600 all uses the Hough transform algorithm to extract the straight line model, but the algorithm searches globally in the region of interest and has a large amount of calculation, which is not conducive to real-time calculation under high-speed vehicle operation. And due to the uncertainty of the actual curve curvature, the dimension increases when extracting the peak value of the curve parameters in the parameter space, and the amount of calculation increases significantly. It is not suitable for continuous multi-segment curved roads. Not only that, but also other similar lane departure warning patents , some do not give the corresponding camera calibration scheme, it is difficult to obtain a more accurate position of the lane relative to the vehicle; some do not combine the road geometric model, it is difficult to eliminate linear noise such as railings on both sides of the road; The early warning only focuses on the lateral deviation of the vehicle relative to the adjacent lane. When the vehicle speed is too high when entering the curve, it will cause the vehicle to skid or roll over. At the same time, the number of traffic accidents on the curve is several times that of other road conditions. Therefore, it is necessary to study the curve speed warning mechanism

The existing curve speed warning system still has defects. For example, the truck curve anti-rollover dynamic detection method and early warning device with patent No. 200910158546.9 can only sense the lane inclination and vehicle lateral acceleration after the vehicle has completely entered the curve. etc., cannot carry out early warning; although the curve safety warning and driving recording method of the navigation system with the patent No. 200410081844. The effectiveness of GPS signals is easily affected, and high-precision electronic maps need to be updated in time with road conditions

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