智能汽车车道检测与跟踪研究进展

2019 International Conference of Computer Science and Renewable Energies (ICCSRE) Pub Date : 2019-07-01 DOI:10.1109/ICCSRE.2019.8807727

Mehdi Feniche, T. Mazri

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引用次数: 22

摘要

当前，车道检测和跟踪模块被认为是智能交通系统(ITS)开发的核心需求。提取的车道信息可用于车道保持系统、车道偏离警告和避免与其他车辆碰撞等多个智能应用程序。在本文中，我们介绍、回顾和比较了用于自动驾驶车辆中检测道路车道的不同基于视觉的算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Lane Detection and Tracking For Intelligent Vehicles: A Survey

Nowadays, Lane detection and tracking modules are considered as central requirements in every Intelligent Transportation System (ITS) development. The extracted lane information could be used in several smart applications for lane keeping systems, lane departure warning and avoiding collisions with other vehicles. In this proposed work, we are presenting, reviewing and comparing the different vision based algorithms used for detecting road lanes in autonomous vehicles.

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来源期刊

2019 International Conference of Computer Science and Renewable Energies (ICCSRE)

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