基于机器视觉的智能车辆导航是智能车辆系统的关键，包括道路检测和障碍物检测两部分。
Machine vision based intelligent vehicle navigation, including road detection and obstacle detection, is very important in the intelligent vehicle systems.
视觉辅助导航是智能车辆导航领域的研究热点之一，其中道路与行人检测技术是其视觉导航系统的重要组成部分。
Vision navigation is the key technique of intelligent vehicle, and the lane and pedestrian detection is the most important technique.
智能运输系统的前提条件之一是实现道路行驶车辆自动检测与交通信息实时采集。
Intelligent transportation system is based on realizing moving vehicle detection and collection with traffic message in real time.
通过信息和先进的车辆设备对道路上的车速管理是一种灵活的方式，智能速度顺应系统IS A就是其中之一。
Road speed management based on information and advanced vehicle technology, such as Intelligent speed Adaptation (ISA), provides a flexible solution.
将车辆与道路融合在一起，是设计智能车辆定位导航系统需要模拟实现的方向。
The vehicle and the road together, is to design intelligent vehicle location and navigation system needs to simulate the direction of implementation.
视觉导航是智能车辆导航的一项关键技术，本文针对智能车辆视觉导航系统研究了基于图像检测的道路检测算法。
Vision navigation is the key technique of intelligent vehicle guidance, this paper researches the algorithm of lane detection for intelligent vehicles vision navigation system based image process.
智能车辆自动驾驶系统在提高道路通行能力、改善车辆主动安全性等方面具有巨大的应用潜力。
The intelligent vehicle autonomous driving system offers the great potential for significant enhancements in active safety and traffic capability.
论文介绍了智能车辆视觉导航系统研究背景、意义和现状，分析了常用道路图像预处理算法，提出了一种新的道路检测算法。
In the paper, research background, meaning and current status of vision navigation is firstly introduced, and currently algorithm of image process is analyzed;
论文介绍了智能车辆视觉导航系统研究背景、意义和现状，分析了常用道路图像预处理算法，提出了一种新的道路检测算法。
In the paper, research background, meaning and current status of vision navigation is firstly introduced, and currently algorithm of image process is analyzed;
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