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Parallel Hough Space Image Generation Method for Real-Time Lane Detection

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10016))

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Abstract

This paper proposes a new parallelization method to generate Hough space images for real-time lane detection, using the new NVIDIA Jetson TK1 board. The computation cost in Standard Hough Transform is relatively high due to its higher amount of unnecessary operations. Therefore, in this paper, we introduce an enhanced Hough image generation method to reduce computation time for real-time lane detection purposes, and reduce all the unnecessary operations exist in the Standard method. We implemented our proposed method in both CPU and GPU based platforms and compared the processing speeds with the Standard method. The experiment results induce that the proposed method runs 10 times faster than the existing method in CPU platform, whereas 60 times faster in the GPU platform.

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Acknowledgment

This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) (IITP-2016-H8601-16-1002) supervised by the IITP(Institute for Information & communications Technology Promotion).

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Authors and Affiliations

  1. School of Computer Science and Engineering, Kyungpook National University, Daegu, Republic of Korea

    Hee-Soo Kim, Seung-Hae Beak & Soon-Yong Park

Authors
  1. Hee-Soo Kim
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  2. Seung-Hae Beak
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  3. Soon-Yong Park
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Corresponding author

Correspondence to Hee-Soo Kim .

Editor information

Editors and Affiliations

  1. Université Paris-Sud 11 , Orsay, France

    Jacques Blanc-Talon

  2. University of Salento , Lecce, Lecce, Italy

    Cosimo Distante

  3. Ghent University , Gent, Belgium

    Wilfried Philips

  4. CSIRO ICT Centre , Sydney, New South Wales, Australia

    Dan Popescu

  5. University of Antwerp , Wilrijk, Belgium

    Paul Scheunders

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© 2016 Springer International Publishing AG

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Kim, HS., Beak, SH., Park, SY. (2016). Parallel Hough Space Image Generation Method for Real-Time Lane Detection. In: Blanc-Talon, J., Distante, C., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2016. Lecture Notes in Computer Science(), vol 10016. Springer, Cham. https://doi.org/10.1007/978-3-319-48680-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-48680-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48679-6

  • Online ISBN: 978-3-319-48680-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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