Abstract
Road and lane detection modules are important sub-systems that need to be developed for autonomous vehicles. This paper (Khalifa et al. 2010) presents a computer vision hyperbola-pair based road detection module that has been implemented and tested in real-time application and has proved sufficiently robust to be used under different driving conditions.
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References
Apostoloff N, Zelinsky A (2003) Robust vision based lane tracking using multiple cues and particle filtering. Proceedings of the ieee intelligent vehicals symposium, Columbus, OH, pp 558–563
Baluja S (1996) Evolution of an artificial neural network based autonomous land vehicle controller. IEEE Trans Syst 26(3):450–463
Bertozzi M, Broggi A (1998) GOLD: A parallel real-time stereo vision system for generic obstacle and lane detection. IEEE Trans Image Process 7(1):62–81
Chen Q, Wang H (2006) A real-time lane detection algorithm based on a hyperbola-pair model. Intelligent vehicles symposium, Jun 13–25
Dickmanns ED, Mysliwetz BD (1992) Recursive 3-D road and relative ego-state recognition. IEEE Trans Pattern Anal Mach Intel 14(2):199–213
Graham D, Finlayson SD, Hordley D, Mark DS (2001) Removing shadows from images, School of Information Systems, pp 1–14, (unpublished)
Heimes F, Nagel HH (2002) Towards active machine-vision –based driver assistance for urban areas. Int J Comp Vis 50(1):5–34
Hulse MC (1998) Development of human factor guidelines for advanced traveler information systems and commercial vehicle operations: identification of the strengths and weaknesses of alternative information display formats. Federal Highway Administration, Washington DC, pp 96–142
Kang DJ, Jung MH (2003) Road lane segmentation using dynamic programming for active safety vehicles. Pattern Recogn Lett 24(16):3177–3185
Khalifa OO, Khan IM, Assidiq AAM, Abdulla A-H, Khan S (2010) A hyperbola-pair based lane detection system for vehicle guidance. Lecture notes in engineering and computer science: proceedings of the world congress on engineering and computer science (WCECS 2010), San Francisco, USA, 20–22 Oct 2010, pp 585–588
Kluge K (1994) Extracting road curvature and orientation from image edge points without perceptual grouping into features. Proceedings of the IEEE intelligent vehicles symposium, pp 109–114
Kluge K, Thorpe C (1995) The YARF system for vision-based road following. Math Comput Model 22(4–7):213–233
Kreucher C, Lakshmanan S (1990) LANA: A lane extraction algorithm that uses frequency domain features. IEEE Trans Robot Automation 15(2):343–350
Kreucher C, Lakshmanan S, Kluge K (1998) A driver warning system based on the LOIS lane detection algorithm. Proceedings of the IEEE International Conference on Intelligent Vehicles, Stuttgart, Germany, pp 17–22
Kwon W, Lee S (2002) Performance evaluation of decision making strategies for an embedded lane departure warning system. J Robot Syst 19(10):499–509
Lee S, Kwon W (2005) Robust lane keeping from novel sensor fusion. Proc IEEE Int Conf Robotics Automation 4:3704–3709
Ma B, Lakshamanan S, Hero AO (2000) Simultaneous detection of lane and pavement boundaries using model-based multi-sensor fusion. IEEE Trans Intel Transport Syst 1(3):135–147
Nedevschi S et al (2004) 3D lane detection system based on stereovison. IEEE intelligent transportation systems conference, Washington, DC, 3–6 Oct 2004
Park JW, Lee JW, Jhang KY (2003) A lane-curve detection based on an LCF. Pattern Recogn Lett 24(13):2301–2313
Pomerleau D (1995) Neural network vision for robot driving. In: Arbib M (ed) The hand-book of brain theory and neural networks. MIT Press, Cambridge, MA
Pomerleau D, Jochem T (1996) Rapidly adapting machine vision for automated vehicle steering. IEEE Expert-Special Issue Intel Syst Appl 11(2):19–27
Southhall B, Taylor CJ (2001) Stochastic road shape estimation. Proceedings of the international conference on computer vision, pp 205–212
Taylor C, Kosecka J, Blasi R, Malik J (1999) A comparative study of vision-based lateral control strategies for autonomous highway driving. Int J Robot Res 18(5):442–453
Wang Y, Shen D, Teoh EK, Wang H (1998) A novel lane model for lane boundary detection, IARP workshop on machine vision application, 17–19 Nov 1998
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The authors of this paper would like to thank the Research Management Center at IIUM for their financial support under the eScience fund.
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Khalifa, O.O., Khan, I.M., Assidiq, A.A.M. (2011). A Hyperbola-Pair Based Road Detection System for Autonomous Vehicles. In: Ao, SI., Amouzegar, M., Rieger, B. (eds) Intelligent Automation and Systems Engineering. Lecture Notes in Electrical Engineering, vol 103. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0373-9_28
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DOI: https://doi.org/10.1007/978-1-4614-0373-9_28
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