Detect lanes feature based on Birds Eye View image

Rough, Simple and Effective Implementation of Lane Line Feature Detection Algorithm. 粗糙、简单、有效的车道线特征检测算法实现。
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Updated 30 Oct 2023

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基于BEV(birds eye view)图像的车道线特征检测
粗糙、简单、有效的车道线特征检测算法实现,算法原理请参阅文后的References。改编自内建函数segmentLaneMarkerRidge,无需配置相机内外参,直接从BEV图像检测出车道线特征的二值图像。本函数优点在于扩展函数 segmentLaneMarkerRidge的适用场合不足,特别在未知的birdsEyeConfig参数情况下,仍然可以正常检测车道线特征。
示例
bevImage = imread("example_media/birdsEyeImage.png");
figure;imshow(bevImage);
title("原始图像")
pixelWidthInBEVImage = 5; % 图像中近似车道线宽度,单位:像素
birdsEyeBW = detectLaneMarkerRidge(bevImage,pixelWidthInBEVImage);
figure;imshow(birdsEyeBW)
References
[2] Nieto, M., J. A. Laborda, and L. Salgado. “Road Environment Modeling Using Robust Perspective Analysis and Recursive Bayesian Segmentation.” Machine Vision and Applications. Volume 22, Issue 6, 2011, pp. 927–945.

Cite As

cui,xingxing (2024). Detect lanes feature based on Birds Eye View image (https://www.mathworks.com/matlabcentral/fileexchange/154271-detect-lanes-feature-based-on-birds-eye-view-image), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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segmentLaneMarkerRidge

segmentLaneMarkerRidge

Version Published Release Notes
1.0.2

Revised to English title

1.0.1

更新文档描述

1.0.0