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

Research Article

Low-Level Image Processing for Lane Detection and Tracking

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  • @INPROCEEDINGS{10.1007/978-3-642-11577-6_24,
        author={Ruyi Jiang and Mutsuhiro Terauchi and Reinhard Klette and Shigang Wang and Tobi Vaudrey},
        title={Low-Level Image Processing for Lane Detection and Tracking},
        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={Lane detection and tracking DAS bird’s-eye view distance transform},
        doi={10.1007/978-3-642-11577-6_24}
    }
    
  • Ruyi Jiang
    Mutsuhiro Terauchi
    Reinhard Klette
    Shigang Wang
    Tobi Vaudrey
    Year: 2012
    Low-Level Image Processing for Lane Detection and Tracking
    ARTSIT
    Springer
    DOI: 10.1007/978-3-642-11577-6_24
Ruyi Jiang1,*, Mutsuhiro Terauchi2,*, Reinhard Klette3,*, Shigang Wang1,*, Tobi Vaudrey3,*
  • 1: Shanghai Jiao Tong University
  • 2: Hiroshima International University
  • 3: The University of Auckland
*Contact email: jiangruyi@sjtu.edu.cn, mucha@he.hirokoku-u.ac.jp, r.klette@auckland.ac.nz, wangshigang@sjtu.edu.cn, t.vaudrey@auckland.ac.nz

Abstract

Lane detection and tracking is a significant component of vision-based driver assistance systems (DAS). Low-level image processing is the first step in such a component. This paper suggests three useful techniques for low-level image processing in lane detection situations: bird’s-eye view mapping, a specialized edge detection method, and the distance transform. The first two techniques have been widely used in DAS, while the distance transform is a method newly exploited in DAS, that can provide useful information in lane detection situations. This paper recalls two methods to generate a bird’s-eye image from the original input image, it also compares edge detectors. A modified version of the Euclidean distance transform called (RODT) is proposed. Finally, the paper discusses experiments on lane detection and tracking using these technologies.