摘要
基于视觉的道路跟踪是智能车辆导航的核心问题,它包括道路检测和障碍物检测两个组成部分。本文首先结合大量的现有系统对道路跟踪的方法进行了综述,然后介绍了三个代表性系统,并对其最新实验结果进行了分析。在此基础上,对该领域今后的发展方向进行了展望。
The key problem of intelligent vehicle guidance is Vision Based Road Following, including road detection and obstacle detection. The existing approaches for road following by means of computer vision are surveyed by reviewing the most promising experimental solutions and prototypes developed worldwide. Then three typical systems: VaMP from Bundeswehr of Germany, Navlab5 from CMU of America, ARGO from Parma University of Italy, are introduced with their latest extensive experimental results. Trend of vision based road following is presented in the end of this paper according to above information.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2001年第2期186-193,共8页
Pattern Recognition and Artificial Intelligence
基金
国家863高技术项目
九五国家科技预研项目
关键词
道路跟踪
计算机视觉
智能车辆导航
移动机器人
Road Following, Road Detection, Obstacle Detection, Computer Vision, Intelligent Vehicle Guidance
