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

Hui Bo Bi; Xiao Dong Xian; Li Juan Huang

doi:10.4028/www.scientific.net/AMR.430-432.1871

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 430-432A Novel Method for Tramcar Anti-Collision Warning...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 430-432)

Pages:

1871-1876

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.430-432.1871

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Online since:

January 2012

Authors:

Hui Bo Bi, Xiao Dong Xian, Li Juan Huang

Keywords:

ARM, Collision Warning, Lane Detection, Monocular Vision, Object Recognition

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