当道路检测到路面上有雪或冰时，就会自动升温，融化雪或冰。
When they detect snow or ice on their surfaces, the roads will heat themselves up, melting the snow or ice away.
本文提出了一种新的非结构化道路检测算法。
提出一种基于自适应变形模板的非结构化道路检测算法。
A new method of unstructured road detection based on adaptive deformable template is presented.
道路检测是室外移动机器人尤其是智能汽车研究领域的一个重要课题。
Road Detection is one of the most important subjects in the field of outdoor mobile robot especially intelligent car.
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.
因此，SAR图像道路检测与识别的研究，不仅具有重要的理论价值，也具有重要的实际应用价值。
So the research of road detection and recognition in SAR images is not only significant in theory but also important in practice.
最终，自走车系统在道路检测检测结果和算法效率上都有较好的表现，基本达到了自主导航的实验效果。
In the end, self-propelled vehicle system has good performance in the road detection results and algorithms efficiency, reaches the autonomous navigation experiment results.
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.
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;
利用所采集的173幅多种场景下的实际道路图像，实验验证了道路检测方法的有效性，并与典型自适应检测算法进行了对比。
By applying to process 173 actual road images under several scenes, the experiment validates the method proposed by the paper, and compares it with the single self-adaptive algorithm.
基于智能车视觉导航系统平台，在TMS320C 6201定点数字信号处理器上实现了一种基于HSV色彩空间的道路检测算法。
Based on TMS320C6201 fixed point DSP of the Intelligence Vehicle Machine Vision System, a road detection algorithm based on HSV color space is presented and realized.
论文对SAR图像道路检测与识别方法进行了深入研究，分析了SAR图像中道路的影像特征，提出了一种SAR图像道路检测与识别的新方法。
Intensive study of methods for the road detection and recognition and analysis of image features of roads in SAR images have been done in this thesis.
利用采集的200幅实际道路图像对本文提出的算法进行验证，正确识别率达81.2%，仿真结果表明本文提出的道路检测算法是可行和有效的。
The algorithm proposed by the paper are used to process 200 actual lane image, thus obtaining right rate close to 81.2%, simulated results show that the algorithm is right and effective.
利用采集的200幅实际道路图像对本文提出的算法进行验证，正确识别率达81.2%，仿真结果表明本文提出的道路检测算法是可行和有效的。
The algorithm proposed by the paper are used to process 200 actual lane image, thus obtaining right rate close to 81.2%, simulated results show that the algorithm is right and effective.
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