DETECTION OF LANE DEPARTURE ON HIGH-SPEED ROADS

David Hanwell, Majid Mirmehdi

Abstract

We present a system for detecting and tracking the lanes of high-speed roads, in order to warn the driver of accidental lane departures. The proposed method introduces a novel variant of the classic Hough transform, better equipped to detect and locate linear road markings with a common vanishing point. This is combined with a simple model of the lane and an Extended Kalman Filter to make detection and tracking more robust. This allows detection of lane changes, resistant to visual interference by traffic and irrelevant road markings.

References

  1. Cantoni, V., Lombardi, L., Porta, M., and Sicard, N. (2001). Vanishing point detection: Representation analysis and new approaches. In Proc. of ICIAP.
  2. D'Cruz, C. and Jia Zou, J. (2007). Lane detection for driver assistance and intelligent vehicle applications. In ISCIT 2007, pp. 1291-1296.
  3. Godthelp, H., Milgram, P., and Blaauw, G. (1984). The development of a time-related measure to describe driving strategy. Human Factors: Journal of HFES.
  4. Horne, J. A. and Reyner, L. A. (1995). Sleep related vehicle accidents. BMJ, 310(6979):565-567.
  5. Ieng, S.-S., Vrignon, J., Gruyer, D., and Aubert, D. (2005). A new multi-lanes detection using multi-camera for robust vehicle location. In Proc. IEEE IV, pp. 700-705.
  6. Jähne, B., Scharr, H., and Körkel, S. (1999). Handbook of Computer Vision and Applications., pp. 125-152.
  7. Jung, C. R. and Kelber, C. R. (2005). Lane following and lane departure using a linear-parabolic model. Image and Vision Computing, 23(13):1192-1202.
  8. Lipski, C., Scholz, B., Berger, K., Linz, C., Stich, T., and Magnor, M. (2008). A fast & robust approach to lane marking detection & lane tracking. In SSIAI, pp. 57-60.
  9. Loose, H. and Franke, U. (2010). B-spline-based road model for 3d lane recognition. In Proc 13th Intelligent Transportation Systems, pp. 91-98.
  10. McDonald, J. (2001). Application of the HT to lane detection & following on high speed roads. In ISSC.
  11. Mobileye® N.V. (2010). http://www.mobileye.com.
  12. NCSDR/NHTSA Expert Panel on Driver Fatigue and Sleepiness (1998). Drowsy driving and automobile crashes, Report No. DOT HS 808 707.
  13. Rimini-Doering, M., Altmueller, T., Ladstaetter, U., and Rossmeier, M. (2005). Effects of lane departure warning on drowsy drivers performance and state in a simulator. In 3rd Int. Driving Symp. on Human Factors in Driver Assessment, Training, & Vehicle Design, pp. 88-95.
  14. Voisin, V., Avila, M., Emile, B., Begot, S., and Bardet, J.- C. (2005). Road markings detection and tracking using Hough transform and Kalman filter. In Advanced Concepts for Intelligent Vision Systems, pp. 76-83.
  15. Wu, B.-F., Lin, C.-T., and Chen, Y.-L. (2009). Dynamic calibration and occlusion handling algorithms for lane tracking. In IEEE TIE, vol. 56, pp. 1757-1773.
Download


Paper Citation


in Harvard Style

Hanwell D. and Mirmehdi M. (2012). DETECTION OF LANE DEPARTURE ON HIGH-SPEED ROADS . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-8425-99-7, pages 529-536. DOI: 10.5220/0003732605290536


in Bibtex Style

@conference{icpram12,
author={David Hanwell and Majid Mirmehdi},
title={DETECTION OF LANE DEPARTURE ON HIGH-SPEED ROADS},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2012},
pages={529-536},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003732605290536},
isbn={978-989-8425-99-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - DETECTION OF LANE DEPARTURE ON HIGH-SPEED ROADS
SN - 978-989-8425-99-7
AU - Hanwell D.
AU - Mirmehdi M.
PY - 2012
SP - 529
EP - 536
DO - 10.5220/0003732605290536