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Lane line point cloud extraction method, electronic equipment and storage medium

An extraction method and technology of electronic equipment, applied in image analysis, image enhancement, instruments, etc., can solve problems such as difficulty in ensuring accuracy and time-consuming extraction methods, and achieve the effects of ensuring accurate extraction, simple and fast extraction, and ensuring accuracy and reliability

Active Publication Date: 2020-04-21
WUHAN ZHONGHAITING DATA TECH CO LTD
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Problems solved by technology

[0005] In view of this, the embodiment of the present invention provides a lane line point cloud extraction method, electronic equipment and storage media to solve the problems that the existing extraction methods are time-consuming and difficult to guarantee accuracy

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  • Lane line point cloud extraction method, electronic equipment and storage medium
  • Lane line point cloud extraction method, electronic equipment and storage medium
  • Lane line point cloud extraction method, electronic equipment and storage medium

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Embodiment Construction

[0023] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the following The described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0024] The term "comprising" and other expressions with similar meanings in the description or claims of the present invention and the above drawings mean that the coverage is not exclusive, such as the process, method or system, equipment comprising a series of steps or units are not limited to Steps or units listed. In addition, "first...

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Abstract

The invention provides a lane line point cloud extraction method, electronic equipment and a storage medium, and the method comprises: obtaining a road marking point cloud, and extracting the lane line point cloud from the road marking point cloud according to the shape features of the road marking point cloud cluster; after the lane line point cloud is segmented, counting the frequency distribution of the intensity of each segment of lane line point cloud data, and generating a frequency distribution histogram; calculating a segmentation threshold of the point cloud intensity according to thefrequency distribution histogram and an Otsu algorithm; and carrying out binary segmentation on the lane line point cloud data of each segment by utilizing the segmentation threshold of the point cloud intensity so as to extract a highlighted lane line point cloud. By means of the scheme, the problems that an existing lane line point cloud extraction method consumes much time and is difficult toguarantee accuracy are solved, lane line point cloud extraction can be completed accurately and rapidly, and edge point data on the two sides of a lane line are reserved to the maximum extent.

Description

technical field [0001] The invention relates to the field of electronic maps, in particular to a lane line point cloud extraction method, electronic equipment and a storage medium. Background technique [0002] In high-precision maps, the drawing of lane lines often requires the use of laser point cloud data. Before the lane line point cloud is vectorized, the accuracy of the lane line point cloud and the actual boundary must be within 5cm. Therefore, the extraction of the lane line point cloud should It is very important to retain the maximum boundary information and accurately obtain the boundary of the lane line point cloud. [0003] At present, the commonly used lane line point cloud extraction method is based on semantic segmentation to extract lane line point cloud. Although it can preserve the boundary information to the maximum extent, it needs to use a deep learning model, and the training of the model needs to provide a large number of labeled samples, which is tim...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/136
CPCG06T7/136G06T2207/10028G06T2207/30256G06V20/588
Inventor 李框宇郑小辉陈岩罗跃军
Owner WUHAN ZHONGHAITING DATA TECH CO LTD
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