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Design and Implementation of Real Time Vision System for Recognizing Features of Lane Boundary

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Genetic and Evolutionary Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 387))

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Abstract

A hard real-time vision system has been developed that analyses color videos taken from a car driving on a highway. This system uses a combination of color, edge, and motion information to recognize and track the road boundaries, lane markings and other vehicles on the road. A real time vision system detecting lane boundary and tracking vehicles on highway under reduced visibility is described and evaluated in this paper. By using a forward looking camera in a moving car the system recognize lane boundary, and the car driver is warned to the distance from other vehicle on the road and making decision of left or right lane departure. To decide controlling brake and turning left or right departure, the system uses the rear light signal of other vehicle on the road. In this research, color space transformation, edge detection, morphological boundary detection and spectrum difference are mainly used.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Defence Services Academy, Pyin Oo Lwin, Republic of Union of Myanmar

    Aung Kyaw Tun, Kyaw Zaw Ye & L. G. Gagarina

  2. Department of Informatics and Computer Software System, National Research University of Electronic Technology, Zelenograd, Moscow, Russia

    Aung Kyaw Tun, Kyaw Zaw Ye & L. G. Gagarina

Authors
  1. Aung Kyaw Tun
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  2. Kyaw Zaw Ye
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  3. L. G. Gagarina
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Corresponding author

Correspondence to Kyaw Zaw Ye .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Thi Thi Zin

  2. School of Computer Science and Tech..., Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China

    Jerry Chun-Wei Lin

  3. College of Information Science and Engg, Fujian University of Technology, Fuzhou, China

    Jeng-Shyang Pan

  4. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Pyke Tin

  5. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Mitsuhiro Yokota

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© 2016 Springer International Publishing Switzerland

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Tun, A.K., Ye, K.Z., Gagarina, L.G. (2016). Design and Implementation of Real Time Vision System for Recognizing Features of Lane Boundary. In: Zin, T., Lin, JW., Pan, JS., Tin, P., Yokota, M. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-319-23204-1_23

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  • DOI: https://doi.org/10.1007/978-3-319-23204-1_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23203-4

  • Online ISBN: 978-3-319-23204-1

  • eBook Packages: EngineeringEngineering (R0)

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