›› 2015, Vol. 28 ›› Issue (3): 15-.

• 论文 • 上一篇    下一篇

基于车底阴影的车前障碍物检测

赵日成   

  1. (西安电子科技大学 物理与光电工程学院,陕西 西安 710071)
  • 出版日期:2015-03-15 发布日期:2015-03-12
  • 作者简介:赵日成(1991—),男,硕士研究生。研究方向:辅助驾驶的路面障碍物检测。E-mail:xdzrc@qq.com

Front Obstacle Detection Based on Shadow of Chassis

ZHAO Richeng   

  1. (School of Physics and Optoelectronic Engineering,Xidian University,Xi'an 710071,China)
  • Online:2015-03-15 Published:2015-03-12

摘要:

基于计算机视觉的道路车辆检测是智能车辆导航的核心问题,实时准确地检测前方运动车辆的位置信息是车辆安全驾驶的前提。文中采用车底阴影的前方运动车辆检测算法,在基于车道线检测的基础上,通过车底阴影检测,实时准确地检测前方车辆。该算法通过使用Otsu阈值分割提取出车道线,生成AOI区域,再进行两次自适应阈值分割提取车底与路面的交线,从而检测出前方运动车辆。经过在高速公路上对运动车辆检测实验证明,该算法基本满足车辆安全驾驶的需求,并能准确实时地检测出前方运动车辆,进而减少了交通事故的发生。

关键词: 运动车辆检测, 计算机视觉, 车底阴影, 最大类间方差法

Abstract:

Vehicle intelligent auxiliary drive system is an important part of the intelligent transport system.Using the computer vision to detect moving vehicle is the essential problem of the intelligent vehicle navigation.Real time detection of the location information of the preceding vehicle detection is the premise for security driving.A detection method for preceding vehicles based on the shadow of chassis is presented.The key thought is using the detection of the shadow to detect the preceding vehicle with the lane detection.First,the Otsu threshold segmentation is used to extract the lane and generate the AOI.Then,two adaptive thresholds are adopted to extract the interesting lines of the chassis and the road so that the moving vehicle is detected.The experiment on highway shows that this algorithm satisfies the need of the security driving,and can exactly detect the preceding moving vehicle thus reducing the risks of traffic accidents.

Key words: moving vehicle detection;computer vision;shadow of chassis;otsu

中图分类号: 

  • TP274