Method and apparatus for processing lane line data, computer device and storage medium

A technology of data processing and lane lines, which is applied in image data processing, computer components, calculations, etc., can solve the problems of lane line extraction accuracy and low processing efficiency, so as to save manual labeling costs, improve processing efficiency, and improve accuracy Effect

Active Publication Date: 2018-08-31
TENCENT TECH (SHENZHEN) CO LTD +1
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  • Application Information

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Problems solved by technology

[0006] Based on this, it is necessary to provide a lane line data processing method, device, computer equipment and storage medium for the technical problems of lane line extraction accuracy and low processing efficiency

Method used

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  • Method and apparatus for processing lane line data, computer device and storage medium
  • Method and apparatus for processing lane line data, computer device and storage medium
  • Method and apparatus for processing lane line data, computer device and storage medium

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Embodiment Construction

[0037] The present application will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0038] figure 1 It is an application environment diagram of the lane marking data processing method in one embodiment. refer to figure 1 , the lane line data processing method is applied to the lane line editing system operated by the terminal 110 . Map editors can load and display lane lines on the terminal 110 by operating the terminal 110 . The lane marking data obtained by using the lane marking data processing method of the present application is represented by key points. Map editors can easily view the lane line extraction results through the lane line editing system. For the lane line data whose extraction accuracy meets the requirements, editors do not need to modify it, which greatly reduces the workload of editors and improves editing efficiency. The terminal 110 may specifically be a desktop terminal or a notebook computer. ...

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Abstract

The present invention relates to a method and an apparatus for processing lane line data, a computer device and a storage medium. The method includes: acquiring and dividing three-dimensional point cloud data of a to-be-processed road; and processing the three-dimensional point cloud data of each segment after the segmentation to obtain a two-dimensional gray image of the three-dimensional point cloud data of each segment; using a pre-trained deep neural network model, respectively extracting a lane line region and a lane line attributed such as a dotted or full lane line in each two-dimensional gray image to obtain a corresponding lane line region map; and according to the three-dimensional point cloud data corresponding to the lane line region map and the lane line attribute such as thedotted or full lane line, splicing the lane line region map to obtain lane line data of the to-be-processed road. By adopting this method, the processing efficiency is improved, and compared with ordinary machine learning, it is not easily affected by interference items such as characters and cars in the three-dimensional point cloud data, and the accuracy of lane line region extraction is improved.

Description

technical field [0001] The present application relates to the technical field of map data processing, in particular to a lane line data processing method, device, computer equipment and storage medium. Background technique [0002] A high-precision map is a core content of autonomous driving. It provides a wealth of road information for the car and assists the car in positioning, navigation and decision-making. Lane lines are the core data on the lane and the most important content in the high-precision map. It is the premise to ensure the correct driving of vehicles and the safety of automatic driving. [0003] At present, the lane line extraction methods are mainly divided into three types, namely the manual extraction method, the extraction method based on laser point cloud, and the extraction method based on point cloud image. The manual extraction method is completely edited by humans, and the lane lines are drawn point by point on the point cloud data. The lane line ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T3/40G06V10/764
CPCG06T3/4038G06V20/588G06N3/08G06V10/82G06V10/764G06N3/045
Inventor 舒茂
Owner TENCENT TECH (SHENZHEN) CO LTD
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