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A Lane Line Detection Method Based on Color Block Statistics

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: 2019-12-20
HUIZHOU DESAY SV AUTOMOTIVE
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  • Summary
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  • Claims
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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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  • A Lane Line Detection Method Based on Color Block Statistics

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Embodiment 1

[0029] A lane departure warning system, including four fisheye cameras as vehicle-mounted cameras, the four fisheye cameras are respectively arranged in the front, rear, left and right directions of the vehicle to photograph the roads in front, rear, left and right of the vehicle Image: Each camera is connected to the lane departure warning system to transmit the captured road image to the lane departure warning system, and the captured image is a YUV format image.

[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 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 patch statistics, is characterized in that, 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 detection method based on color block statistics, comprising the following steps: first, the lane departure warning system acquires YUV images around the vehicle; secondly, the lane departure warning system extracts the color block feature values ​​of the YUV image; and then The lane departure warning system uses the extracted color block eigenvalues ​​to establish a decision tree model; the next step is that the lane departure warning system judges whether the YUV image is a lane line area or a non-lane line area through the decision tree model. Execute this step to judge the next YUV image; finally, the lane departure warning system recognizes the lane lines in the lane line area through the visual recognition system. The lane line detection method based on color block statistics of the present invention realizes more efficient and accurate lane line recognition and detection.

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 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, cheap price, and conforms to human perception. Through the lane departure warning system installed on the vehicle, it will give an alarm to remind the driver when the car deviates from the normal driving lane, so that the driver has sufficient reaction and processing time to regulate driving. Lane line detection is a crucial step in the lane departure warning system. Accurate detection of the position of the lane line will effectively reduce the occurrence of traffic accidents, reduce unnecessary casualties, and at the same time regulate the driving habits of drivers. [0003] D...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W30/12G06K9/00
CPCB60W30/12G06V20/588
Inventor 鞠园倪如金
Owner HUIZHOU DESAY SV AUTOMOTIVE
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