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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bengler, K., Dietmayer, K., Farber, B., Maurer, M., Stiller, C., Winner, H.: Three decades of driver assistance systems: review and future perspectives. IEEE Intell. Transp. Syst. Mag. 6(4), 6–22 (2014)
Wu, C.F., Lin, C.J., Lee, C.Y.: Applying a functional neurofuzzy network to real-time lane detection and front-vehicle distance measurement. IEEE Trans. Syst. Man Cybern. 42(4), 577–589 (2012)
Cualain, D.O., Hughes, C., Glavin, M., Jones, E.: Automotive standards-grade lane departure warning system. IEEE Intell. Transp. Syst. 6(1), 44–57 (2012)
Son, J., Yoo, H., Kim, S., Sohn, K.: Real-time illumination invariant lane detection for lane departure warning system. Expert Syst. Appl. 42(4), 1816–1824 (2015)
Chao, M., Ling, M., YueFei, Z., Mei, X.: Lane detection using heuristic search methods based on color clustering. In: IEEE International Conference on Communications, Circuits and Systems, pp. 368–372 (2010)
Cualain, D.O., Hughes, C., Glavin, M., Jones, E.: Automotive standards-grade lane departure warning system. IET Intel. Transp. Syst. 6(1), 44–57 (2012)
Ouyang, D.: Intelligent road control system using advanced image processing techniques. MS theses, University of Toledo, USA (2012)
Cheng, X., Chao, M., Chao, C., Zhibang, Y.: Road detection based on vanishing point location. J. Convergence Inf. Technol. 7(6), 137–145 (2012)
Deng, Y., Manjunath, B.S., Shin, H.: Color image segmentation. In: IEEE Conference on CVR, vol. 2, p. 2446 (1999)
Kim, J.B.: Detection of traffic signs based on eigen-color model and saliency model in driver assistance systems. Int. J. Automot. Technol. 14(3), 429–439 (2013)
Nikolaou, N., Papamarkos, N.: Color reduction for complex document images. Int. J. Imaging Syst. Technol. 19(1), 14–26 (2009)
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-23989-7_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23987-3
Online ISBN: 978-3-319-23989-7
eBook Packages: Computer ScienceComputer Science (R0)