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Lane marking detection method, device, equipment and storage medium

A detection method and lane line technology, applied in scene recognition, calculation, character and pattern recognition, etc., can solve problems such as poor detection accuracy

Active Publication Date: 2022-04-05
SHENZHEN MINIEYE INNOVATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] This application provides a lane line detection method, device, equipment and storage medium to solve the technical problem of poor detection accuracy in existing lane line detection methods

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  • Lane marking detection method, device, equipment and storage medium
  • Lane marking detection method, device, equipment and storage medium
  • Lane marking detection method, device, equipment and storage medium

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Embodiment Construction

[0062] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0063] As recorded in related technologies, manual setting of the ROI makes the detection accuracy of lane lines poor. Manually setting the ROI to be too large will cause a computational burden and introduce more noise to affect the accuracy of lane line detection; manually setting the ROI to be too small will cause the car body to approach one side of the lane line, the far end or the other side of the lane Line loss, poor robustness; and poor adaptability and fit for large curvature curve...

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Abstract

The present application discloses a lane line detection method, device, equipment and storage medium. By obtaining the initial perspective view of the lane, the perspective transformation is performed on the initial perspective view to obtain the first bird's-eye view, and based on the target lane line equation, the fitting Adaptive ROI matrix of the first bird's-eye view to solve the limitations of manually setting the ROI matrix, making the adaptive ROI matrix more suitable for lane lines, improving the accuracy of lane line detection and reducing the burden of computing power; and based on the target inverse perspective transformation matrix , restore the target ROI area corresponding to the adaptive ROI matrix to the initial perspective, obtain the target perspective, and based on the target ROI area of ​​the target perspective, extract the first lane line of the lane, reduce the noise outside the lane line, and increase the large curvature curve The adaptability of lanes further improves the accuracy of lane line detection.

Description

technical field [0001] The present application relates to the technical field of intelligent driving, and in particular to a lane line detection method, device, equipment and storage medium. Background technique [0002] Lane line detection is one of the key tasks for advanced driver assistance systems to realize intelligent driving. At present, lane line detection mainly includes lane line detection based on Udacity traditional vision and lane line detection based on deep learning methods. Among them, the lane line detection based on Udacity's traditional vision is to manually set the ROI (Region Of Interest, region of interest) in the perspective view, convert the perspective view after setting the ROI to the bird's-eye view, and extract the lane line from the bird's-eye view , and finally reconvert the lane lines extracted from the bird's-eye view to the original perspective view. [0003] However, manually setting the ROI makes the detection accuracy of lane lines poor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/58G06V10/25G06V10/30
Inventor 程奇刘国清杨广王启程
Owner SHENZHEN MINIEYE INNOVATION TECH CO LTD
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