A Novel Method for Tramcar Anti-collision Warning System Based on Monocular Vision

摘要：

　　For the problem of tramcar collision accident in coal mine underground,a monocular vision-based tramcar anti-collision warning system based on ARM and FPGA was designed and implemented.In this paper,we present an improved fast lane detection algorithm based on Hough transform.Besides,a new distance measurement and early-warning system based on the invariance of the lane width is proposed.System construction,hardware architecture and software design are given in detail.The experiment results show that the precision and speed of the system can satisfy the application requirement.

关键词： ARM collision warning monocular vision lane detection object recognition

作者: Huibo Bi Xiaodong Xian Lijuan Huang

作者单位: College of Automation, Chongqing University, Chongqing, 400044, P.R.China

会议类型: 国际会议

会议名称: the 2012 International Conference on Frontiers of Advanced Materials and Engineering Technology (2012年先进材料与工程技术国际会议(FAMET 2012))

会议地点: 厦门

会议语种:英文

页码: 1871-1876

在线出版日期: 2012-01-04（万方平台首次上网日期，不代表论文的发表时间）