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Hough Transform-Based Road Detection for Advanced Driver Assistance Systems

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Intelligence Science and Big Data Engineering. Image and Video Data Engineering (IScIDE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9242))

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Abstract

This paper proposes a real-time road region detection method for safe driving assistance systems. This is a method on detecting road regions by receiving input images from vehicle black boxes. As such, we propose a method that detects major straight line components through Hough transform in input images, selects a vanishing point from the intersection of detected straight lines using preliminary information from the road environment, and detects road regions using the selected vanishing point and left and right straight lines from the Hough transform. As a result of applying the proposed method to various road environments, approximately 0.37 s were consumed per frame, providing over 81 % detection accuracy.

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Acknowledgments

This research is supported by Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology (2010-0021071) in 2014.

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Correspondence to JongBae Kim .

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© 2015 Springer International Publishing Switzerland

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Kim, J. (2015). Hough Transform-Based Road Detection for Advanced Driver Assistance Systems. In: He, X., et al. Intelligence Science and Big Data Engineering. Image and Video Data Engineering. IScIDE 2015. Lecture Notes in Computer Science(), vol 9242. Springer, Cham. https://doi.org/10.1007/978-3-319-23989-7_29

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  • DOI: https://doi.org/10.1007/978-3-319-23989-7_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23987-3

  • Online ISBN: 978-3-319-23989-7

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