A fast lane departure warning method

Abstract

The invention discloses a method for rapid lane departure warning. The method comprises the steps that S1, a real-time image is obtained when a vehicle travels; S2, after the real-time image is processed in a preset effective area, a binarization image of the real-time image in the effective area is obtained; S3, transverse detection is conducted on the binarization image in preset vertical spacing and after a plurality of sets of binarization sequences are obtained, matching processing is conducted on the sets of binarization sequences according to a preset width matching threshold; S4, after Hough transformation is conducted on a matching processing result, a lane line is extracted, then the included angle and the point of intersection of the lane line and the bottom margin of an effective area are calculated, then whether a vehicle exceeds the line or not is judged, and if the answer is positive, a warning is given. The method is high in responding speed, high in accuracy, strong in robustness and capable of being widely used in vehicle driving.

Description

technical field [0001] The invention relates to the field of vehicle safety driving, in particular to a fast lane deviation warning method. Background technique [0002] In recent years, with the rapid economic development and people's increasing pursuit of quality of life, the demand for road transportation has gradually increased. The proportion of major traffic accidents caused by vehicles deviating from the lane due to excessive fatigue and negligence of drivers on the road has increased year by year. The Lane Departure Warning System (LDWS, Lane Departure Warning System) can send a warning to the driver when it detects that the vehicle has involuntarily deviated, reminding the driver to correct the deviation in time, so that the vehicle can return to the normal lane. In this way, the driver can be assisted to keep driving in the lane in some monotonous driving environments such as highways, so as to improve the driving safety of the vehicle. [0003] The most important...

AI Technical Summary

Problems solved by technology

However, after using edge detection, not only the edge information of the lane line, but also other useless information such as lane markings, vehicles, pedestrians and other contours are also enhanced at the same time, so that the information of the lane line is submerged in the useless information, and the lane line cannot be extracted quickly and accurately.

Lane extraction based on Hough transform is also one of the more widely used lane recognition methods. This method is robust, but the disadvantage is that it requires a lot of calculation and storage space, and the speed is slow.

To sum up, the current lane line detection method has the disadvantages of low accuracy, large amount of calculation, or large memory space, which leads to the disadvantages of low accuracy and slow response speed when the lane departure warning system performs lane departure warning.

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