A lane detection method and system based on lanesegnet

A lane line detection and lane line technology, applied in the field of computer vision, can solve the problems of poor robustness, complex process, long detection time, etc., and achieve the effect of less parameters, increased receptive field, and simple structure

Active Publication Date: 2022-02-11
HUAIYIN INSTITUTE OF TECHNOLOGY
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Problems solved by technology

[0005] Purpose of the invention: In view of the problems of poor robustness, complicated process and long detection time of current lane line detection, the present invention provides a lane line detection method and system based on LaneSegNet

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  • A lane detection method and system based on lanesegnet
  • A lane detection method and system based on lanesegnet
  • A lane detection method and system based on lanesegnet

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0044] Such as figure 1As shown, a lane line detection method based on LaneSegNet disclosed in the embodiment of the present invention first performs polygon filling on the road image to obtain the ROI (Region of Interest) area containing the lane line; then the ROI area image is input into the trained In the LaneSegNet network model, a binary image containing lane lines is obtained; then the DBSCAN algorithm is used to cluster the lane line pixel coordinates in the binary image, and the quadratic polynomials are used to fit different types of lane lines; finally, The fitted lane lines are displayed on the original road image to realize the visualization of lane line detection.

[0045] The specific structure of the data set and the network model used in this embodiment will first be described in detail below.

[0046] Preprocess the road vid...

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Abstract

The invention discloses a lane line detection method and system based on LaneSegNet. The invention first fills the image with polygons to obtain a ROI area, then inputs the image of the ROI area into the trained LaneSegNet network model to obtain a binary image containing lane lines, and then uses the DBSCAN algorithm to cluster the pixel coordinates of the lane lines And perform polynomial fitting, and display the fitted lane lines on the original image. The constructed LaneSegNet network model includes the network architecture of encoding module, decoding module, enhanced receptive field module and enhanced feature module. The invention increases the network receptive field by using the parallel hole convolution module, removes feature information irrelevant to the current task by using the enhanced feature module, and uses asymmetric convolution to construct a feature extraction network to reduce network parameters. The accuracy rate of the invention reaches 98.62%, can be used to detect lane lines on expressways, and has good robustness and real-time performance.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a lane line detection method and system based on LaneSegNet (lane line segmentation network). Background technique [0002] With the improvement of people's living standards, cars play an increasingly important role in people's lives. However, the increase in car ownership leads to more and more traffic accidents. In order to ensure driving safety, the automatic driving function is increasingly With more and more attention, lane line detection is an important part of the automatic driving function. [0003] The current traditional lane line detection methods, such as using Hough transform to detect lane lines, first use image processing to extract lane line edge features, and then use Hough transform to detect and fit the lines. The above-mentioned lane line detection method can only be used for uniform illumination, single environment, no occlusion, and blur...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/58G06N3/04G06N3/08
CPCG06N3/08G06N3/048G06N3/045
Inventor 高尚兵胡序洋汪长春陈浩霖蔡创新相林于永涛周君朱全银张正伟李翔张海艳郝明阳张骏强李杰李少凡
Owner HUAIYIN INSTITUTE OF TECHNOLOGY
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