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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2009: Knowledge-Based and Intelligent Information and Engineering Systems pp 403–410Cite as

A Novel Method for Lateral Vehicle Localization by Omni-Cameras for Car Driving Assistance

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5712))

Abstract

A lateral vehicle localization method by omni-image analysis is proposed for car driving assistance. The method estimates analytically the position and orientation of a lateral vehicle by utilizing the geometric properties of a circular-shaped wheel image of the lateral car taken by a single omni-camera with a hyperboloidal-shaped mirror. Analytical solutions are made possible for fast computation by a special arrangement of affixing the omni-camera on the frontal car bumper at the height of the wheel. Experimental results showing good data estimation precision are included to prove the feasibility of the proposed method.

This work was supported financially by the Ministry of Economic Affairs under Project No. MOEA 97-EC-17-A-02-S1-032 in Technology Development Program for Academia.

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References

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Author information

Authors and Affiliations

  1. Institute of Computer Science and Engineering, National Chiao Tung University, Taiwan

    Chih-Jen Wu & Wen-Hsiang Tsai

  2. Department of Information Communication, Asia University, Taiwan

    Wen-Hsiang Tsai

Authors
  1. Chih-Jen Wu
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  2. Wen-Hsiang Tsai
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Editor information

Editors and Affiliations

  1. University of Chile, Republica 701, 8370439, Santiago, Chile

    Juan D. Velásquez  & Sebastián A. Ríos  & 

  2. University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2009 Springer-Verlag Berlin Heidelberg

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Cite this paper

Wu, CJ., Tsai, WH. (2009). A Novel Method for Lateral Vehicle Localization by Omni-Cameras for Car Driving Assistance. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04592-9_51

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  • DOI: https://doi.org/10.1007/978-3-642-04592-9_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04591-2

  • Online ISBN: 978-3-642-04592-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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