基于视觉的自动驾驶车道线检测系统的设计

陈思成, 张悦欣, 宋子豪

汽车电器 ›› 2025, Vol. 1 ›› Issue (12) : 69-71.

汽车电器 ›› 2025, Vol. 1 ›› Issue (12) : 69-71.
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基于视觉的自动驾驶车道线检测系统的设计

  • 陈思成,张悦欣,宋子豪
作者信息 +

The Design of Vision-based Autonomous Driving Lane Line Detection System

  • Chen Sicheng, Zhang Yuexin, Song Zihao
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文章历史 +

摘要

随着自动驾驶技术的快速发展,车道线检测作为实现车辆自主导航的关键环节之一,对保证行车安全、提高驾驶舒适性具有重要意义。本文提出一套高效的自动驾驶车道线检测系统设计与实现方案。测试结果表明,该设计方案能够准确识别各种复杂条件下的车道线,如光照变化、阴影遮挡等场景,具备较高的检测精度和鲁棒性。

Abstract

With the rapid development of autonomous driving technology, lane line detection, as one of the key links to achieve autonomous vehicle navigation, is of great significance for ensuring driving safety and improving driving comfort. This paper presents a design and implementation scheme for an efficient autonomous driving lane line detection system. The test results show that this design scheme can accurately identify lane lines under various complex conditions, such as light changes and shadow obstructions, and has high detection accuracy and robustness.

关键词

自动驾驶 / 图像处理 / 车道线检测

Key words

autonomous driving / image processing / lane line detection

引用本文

导出引用
陈思成, 张悦欣, 宋子豪. 基于视觉的自动驾驶车道线检测系统的设计[J]. 汽车电器. 2025, 1(12): 69-71
Chen Sicheng, Zhang Yuexin, Song Zihao. The Design of Vision-based Autonomous Driving Lane Line Detection System[J]. AUTO ELECTRIC PARTS. 2025, 1(12): 69-71
中图分类号: U463.6   

参考文献

[1] 杨柳,梁越,张颂安,等 . 无人驾驶技术如何重塑街道空间规划与设计——基于理论与实践的双重视角 [J]. 西部人居环境学刊,2025,40(3):49-57.
[2] 韦明博,王伟 . 面向自动驾驶系统的嵌入式软件集成测试技术 [J]. 时代汽车,2025(12):25-27.
[3] 王明明 .人工智能技术在自动驾驶领域的应用 [J].汽车知识,2025,25(6):140-142,244.
[4] Smith J, Khastgir S. Self-driving technologies need the help ofthe public: A narrative review of the evidence[D]. New York:Cornell University,2025.
[5] Dai Z, Zhou T, Shao K, et al. Socially-Attentive PolicyOptimization in Multi-Agent Self-Driving System[C]// Conference on Robot Learning,2022.

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