Arts and Technology. First International Conference, ArtsIT 2009, Yi-Lan, Taiwan, September 24-25, 2009, Revised Selected Papers

Research Article

Lane Detection on the iPhone

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  • @INPROCEEDINGS{10.1007/978-3-642-11577-6_25,
        author={Feixiang Ren and Jinsheng Huang and Mutsuhiro Terauchi and Ruyi Jiang and Reinhard Klette},
        title={Lane Detection on the iPhone},
        proceedings={Arts and Technology. First International Conference, ArtsIT 2009, Yi-Lan, Taiwan, September 24-25, 2009, Revised Selected Papers},
        proceedings_a={ARTSIT},
        year={2012},
        month={5},
        keywords={Intelligent transportation system driver assistance lane detection iPhone Hough transform},
        doi={10.1007/978-3-642-11577-6_25}
    }
    
  • Feixiang Ren
    Jinsheng Huang
    Mutsuhiro Terauchi
    Ruyi Jiang
    Reinhard Klette
    Year: 2012
    Lane Detection on the iPhone
    ARTSIT
    Springer
    DOI: 10.1007/978-3-642-11577-6_25
Feixiang Ren1, Jinsheng Huang1, Mutsuhiro Terauchi2, Ruyi Jiang3, Reinhard Klette1
  • 1: The University of Auckland
  • 2: Hiroshima International University
  • 3: Shanghai Jiao Tong University

Abstract

A robust and efficient lane detection system is an essential component of Lane Departure Warning Systems, which are commonly used in many vision-based Driver Assistance Systems (DAS) in intelligent transportation. Various computation platforms have been proposed in the past few years for the implementation of driver assistance systems (e.g., PC, laptop, integrated chips, PlayStation, and so on). In this paper, we propose a new platform for the implementation of lane detection, which is based on a mobile phone (the iPhone). Due to physical limitations of the iPhone w.r.t. memory and computing power, a simple and efficient lane detection algorithm using a Hough transform is developed and implemented on the iPhone, as existing algorithms developed based on the PC platform are not suitable for mobile phone devices (currently). Experiments of the lane detection algorithm are made both on PC and on iPhone.