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Lane line detecting method based on color lump counting

A lane line detection and lane line technology, applied in the field of visual navigation, can solve problems such as deviation of lane line detection results, and achieve the effects of improving authenticity, reducing false alarms, and improving detection accuracy.

Active Publication Date: 2018-04-13
HUIZHOU DESAY SV AUTOMOTIVE
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AI Technical Summary

Problems solved by technology

[0003] Due to the interference of road shadows, vehicles and other factors in the detection of lane lines, there is a certain deviation between the detection results of lane lines and the true value.

Method used

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  • Lane line detecting method based on color lump counting

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Embodiment 1

[0029] A lane departure warning system, including four fish-eye cameras as vehicle-mounted cameras. The four fish-eye cameras are respectively arranged in the front, back, left and right directions of the vehicle to photograph the roads in front, back, left and right of the vehicle Images; each camera is connected to the lane departure warning system to transmit the captured road images to the lane departure warning system, and the captured images are in YUV format.

[0030] The lane departure warning system stores an image correction algorithm, and the image collected by the fisheye camera is corrected and restored by the correction algorithm, and the captured deformed road YUV image is restored to a YUV image consistent with the real road scene.

[0031] See figure 1 , A lane line detection method based on color block statistics, characterized in that it comprises the following steps:

[0032] S1. The lane departure warning system acquires YUV images around the vehicle;

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Abstract

The invention discloses a lane line detecting method based on color lump counting. The lane line detecting method comprises the following steps that firstly, a lane deviation pre-warning system obtains YUV images around a vehicle; secondly, the lane deviation pre-warning system extracts color lump characteristic values of the YUV images; then, the lane deviation pre-warning system builds a decision tree model through the extracted color lump characteristic values; next, the lane deviation pre-warning system judges whether the YUV images are in a lane line area or in a non-lane line area through the decision tree model, if the YUV images are in the lane line area, the next step is executed, and if the YUV images are not in the lane line area, the step is executed repeatedly to judge the next YUV image; and finally, the lane deviation pre-warning system identifies a lane line in the lane line area through a visual identification system. According to the lane line detecting method based on color lump counting, more efficient and more accurate lane line identification and detection are achieved.

Description

Technical field [0001] The invention relates to the technical field of visual navigation, in particular to a lane line detection method based on color block statistics. Background technique [0002] Visual navigation is currently one of the mainstream technologies in vehicle assisted driving and unmanned driving systems. It has the advantages of wide signal detection range, complete environmental information, low price, and conformity to human perception. Through the lane departure warning system installed on the vehicle, an alarm will alert the driver when the car deviates from the normal driving lane, so that the driver has sufficient response and processing time to regulate driving. Lane line detection is a vital step in the lane departure warning system. Accurately detecting the position of the lane line will effectively reduce the occurrence of traffic accidents, reduce unnecessary casualties, and can also standardize the driving habits of drivers. [0003] Because the lane l...

Claims

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Application Information

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IPC IPC(8): B60W30/12G06K9/00
CPCB60W30/12G06V20/588
Inventor 鞠园倪如金
Owner HUIZHOU DESAY SV AUTOMOTIVE
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