交通运输系统工程与信息 ›› 2018, Vol. 18 ›› Issue (4): 46-53.

• 智能交通系统与信息技术 • 上一篇    下一篇

面向智能交通的单目视觉测距方法研究

邹斌 1, 2,袁宇翔 * 1, 2   

  1. 1. 武汉理工大学 现代汽车零部件技术湖北省重点实验室 武汉 430070; 2. 汽车零部件技术湖北省协同创新中心,武汉 430070
  • 收稿日期:2018-05-10 修回日期:2018-07-08 出版日期:2018-08-25 发布日期:2018-08-27
  • 作者简介:邹斌(1977-),男,湖北人,副教授.
  • 基金资助:

    教育部创新团队滚动计划 /Ministry of Education Innovation Team Rolling Plan(IRT_17R83);111创新引智计划/ 111 Innovation Introduction Program(B17034).

High Precision Distance Measurement Based on Monocular Vision for Intelligent Traffic

ZOU Bin1, 2, YUAN Yu-xiang1, 2   

  1. 1. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China; 2. Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan 430070, China
  • Received:2018-05-10 Revised:2018-07-08 Online:2018-08-25 Published:2018-08-27

摘要:

与前方车辆距离是影响行车安全的重要因素,因此本文提出一种面向未来智能交通的前方车辆单目视觉测距方法.首先,提出融合物联网、智能识别、云计算技术的车联网模型,车辆可实时向车联网回传位置信息及前车图像,请求附近交通标志及前方车辆几何尺度信息,车辆端可计算图像坐标系下车道标志线、交通标志、车辆尺度信息.然后,建立单目相机数学模型,介绍以交通标志、车道分界线为合作标志的单目视觉测距方法.最后,综合应用单目视觉测距方法,设计了前方车辆自适应视觉测距方案.通过仿真实验,证明了单目视觉测距方法的正确性与有效性,可丰富驾驶辅助系统的前方车辆测距手段.

关键词: 综合交通运输, 车辆测距, 单目视觉, 车道线检测, 辅助驾驶

Abstract:

The preceding vehicle distance is a significant factor, affecting driving safety. A preceding vehicle distance measurement based on monocular vision for future intelligent traffic system is proposed. First, the model of internet of vehicles is proposed with the fusion of internet of things, intelligent recognition, and cloud computing technology. The vehicle can send back the location information and the preceding vehicle image to the internet of vehicles in real time, and request the nearby traffic signs and the geometry of the preceding vehicle. Then, establish a mathematical model of the monocular camera, and introduce a distance measurement based on monocular vision with a cooperation sign of traffic signs and lane lines. Finally, a preceding vehicle adaptive vision distance measurement is designed by comprehensive application of the distance measurement based on monocular vision. The simulation demonstrates that the distance measurement based on monocular vision is valid and effective, enriching driving assistance system.

Key words: integrated transportation, distance measurement, monocular vision, lane identifying, ADAS

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