Abstract
To improve the driving safety of drivers, an effective lane detection algorithm was proposed upon the research on lane departure decision warning system based on machine vision. Firstly, the lane images were preprocessed to adapt to various lighting conditions and improve the efficiency of the lane detection. Then, by means of hough transform, actual lane line features were extracted according to the different image lane line features. Finally, after the study of different lane departure models based on lane line detection, this article put forward a lane departure decision algorithm. Experimental results demonstrate that the developed system exhibits good detection performances in recognition reliability and warning decision. It has proved that this system has high accuracy, large detection range and high practicability.
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References
Jiuqiang, H.: Machine vision technology and applications. Higher Education Press, Beijing (2009)
Jung, C.R., Kelber, C.R.: A lane departure warning system using lateral offset with uncalibrated camera. In: Proceedings of the 2006 IEEE Intelligent Transportation Systems, pp. 102–107. IEEE (2005)
Huang, S.S., Chen, C.J., Hsiao, P.Y., Fu, L.C.: On-board vision system for lane recognition and front-vehicle detection to enhance driver’s awareness. In: 2004 IEEE International Conference on Robotics and Automation, Proceedings. ICRA 2004, vol. 3, pp. 2456–2461. IEEE (2004)
Jung, C.R., Kelber, C.R.: A lane departure warning system based on a linear-parabolic lane model. In: 2004 IEEE Intelligent Vehicles Symposium, pp. 891–895. IEEE (2004)
Li, X., Zhang, W.: Research on lane departure warning system based on machine vision. Chinese Journal of Scientific Instrument 29, 1554–1558 (2008)
Yang, Y., Farrell, J.A.: Magnetometer and differential carrier phase GPS-aided INS for advanced vehicle control. IEEE Transactions on Robotics and Automation 19(2), 269–282 (2003)
Zhang, R., Wang, Y., Yang, R.: Researches on Road Recognition in Landsat TM Images. Journal of Remote Sensing 2, 016 (2005)
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Ma, C., Xue, P., Wang, W. (2014). Research on Lane Departure Decision Warning Methods Based on Machine Vision. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham. https://doi.org/10.1007/978-3-319-11897-0_31
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DOI: https://doi.org/10.1007/978-3-319-11897-0_31
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11896-3
Online ISBN: 978-3-319-11897-0
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