Road marking detection method

Abstract

The invention discloses a road marking detection method in the field of vehicle aided driving or automatic driving. Relative position information of a vehicle and a road can be provided for a driver or a vehicle-mounted system so as to reduce the traffic accidents caused by deviation. A plurality of marked image sensors are mounted around the vehicle to be obtaining the information, an image edge point is extracted by using an edge detection method based on a self-adaptive gradient threshold value, and then the straight line is fast extracted from the edge information by using improved method in Hough transform, the reverse solving is performed on the straight line according to the marking information so as to fuse the multi-angle information into a coordinate system using the vehicle as the centre, and finally the position relation of the road marking and the vehicle can be obtained by carrying out statistics on the straight line information based on a parallel marking model. The method disclosed by the invention has the characteristics that the detection angel range can be selected, the algorithm calculated amount is few, and the method is easy to realize.

Description

technical field [0001] The invention relates to the technical field of vehicle assisted driving, in particular to a fast road marking detection method for a real-time system. Background technique [0002] The invention of the automobile has changed the way of human travel. It strongly promotes the flow of goods and people with its convenience and speed, and plays an important role in the development of economy and society. With the continuous development of production technology, new production methods have reduced the unit production time of automobiles, lowered the unit price of automobiles, and made automobiles a mass product. As of 2010, there are about 1 billion vehicles of various types in the world, and this number is still growing at a high speed. However, with the increase of car ownership, the problem of traffic safety has become more and more prominent. In China, there are more than 500,000 traffic accidents every year, the death toll of traffic accidents exceed...

AI Technical Summary

Problems solved by technology

Since the environment of road markings is affected by various factors such as weather, light and road conditions, it is difficult for a detection algorithm with low complexity to find features and models that adapt to environmental changes, while a detection algorithm with high complexity usually cannot guarantee the safety of the system. Response speed, difficult to apply to high-speed vehicles

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