A detection method of solid lane line based on optical flow point trajectory statistics

Abstract

The invention discloses a method for detecting the solid line of a lane line based on optical flow point trajectory statistics. The steps include: step 1: installing a camera above the middle of a one-way road; step 2: preprocessing the video frame image; step 3: obtaining The set of optical flow points of moving vehicles; Step 4: Use the DBSCAN clustering algorithm to segment the set of optical flow points of each moving vehicle, and represent the set of segmented optical flow points with a fixed-size rectangular area; Step 5: For each vehicle Statistically superimpose the segmented area of ​​the moving vehicle, and binarize the result; Step 6: Fit a straight line to the midpoint set of the contour points of the white pixel area that meets the conditions in the binary image; Step 7: From the midpoint The set of fitted straight lines determines the solid line of the exit lane line. The method of the invention is not affected by illumination, weather, vehicles and road surface conditions, and has high detection accuracy and strong robustness for the solid line of the lane line.

Description

technical field [0001] The invention belongs to the technical field of intelligent traffic monitoring, and relates to a detection method of a solid line of a lane line based on optical flow point trajectory statistics. Background technique [0002] Traffic congestion and frequent traffic accidents on urban traffic roads have seriously affected the rapid and healthy development of the economy and the safety of people's lives. The causes of accidents include the problem of compaction lines and compaction lines changing lanes, and based on The detection of traffic violations such as the compaction line of the driving vehicle and the traffic violation of the compaction line changing lanes by computer vision must first detect the solid line of the lane line. [0003] Commonly used computer vision-based lane line detection methods can be divided into two categories, feature-based methods and template-based methods. The former mainly extracts the features of the road in the image,...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a detection method based on the optical flow point trajectory statistics of the solid line of the lane line, which solves the problem that the existing lane line detection method based on computer vision is easily affected by the road surface, weather and illumination, so the detection accuracy of the lane line Problems with low and low robustness

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