Abstract

In this paper comparison is drawn between the existing and proposed techniques of lane detection. Lane detection techniques are proved to be helpful in avoiding accidents on highways. The proposed system has a goal to detect the lane marks even in the presence of high level of noise in the input image. The proposed technique has proved itself as more efficient than that of existing technique.

References

• J. McCall and M. Trivedi, "Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation," IEEE Transactions on Intelligent Transportation Systems, vol. 7, pp. 20–37, March 2006.
• Hong Wang and Qiang Chen. "Real-time lane detection in various conditions and night cases". In Intelligent Transportation Systems, Proceedings of the IEEE, pages 1226–1231, Sept. 17-20, 2006.
• M. Aly, "Real time Detection of Lane Markers in Urban Streets", In IEEE Intelligent Vehicles Symposium, pp. 7 - 12, 2008.
• Z. Kim, "Robust Lane Detection and Tracking in Challenging Scenarios", In IEEE Transactions on Intelligent Transportation Systems, vol. 9, no. 1, pp. 16 - 26, 2008.
• O. O. Khalifa and A. H. A Hashim, "Vision-Based Lane Detection for Autonomous Artificial Intelligent Vehicles", In IEEE International Conference on Semantic Computing, pp. 636 - 641, 2009.
• M. Meuter, S. Muller, A. Mika, S. Hold, C. Nunn and A. Kummert, "A Novel Approach to Lane Detection and Tracking", In IEEE 12th International Conference on Intelligent Transportation Systems, pp. 1-6, 2009.
• A. Borkar, M. Hayes, M. Smith, and S. Pankanti, "A layered approach to robust lane detection at night," in IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems. CIVVS '09, pp. 51–57, April 2009.
• S. Zhou, Y. Ziang, J. Xi, J. Gong, G. Xiong and H. Chen, "A novel lane detection based on geometrical model and gabor filter", in IEEE Intelligent Vehicles Symposium, pp. 59-64, 2010.
• D. Shi, L. Zheng, and J. Liu, "Advanced Hough transform using a multilayer fractional Fourier method," IEEE Transactions on Image Processing, vol. 19, pp. 1558 –1566, June 2010.
• Z. Sherali, H. Ray, C. Yuh-Shyan, I. Angela & H. Aamir. "Vehicular ad hoc networks (VANETS): status, results, and challenges" Springer 2010.
• D. Shi, L. Zheng, and J. Liu, "Advanced Hough transform using a multilayer fractional Fourier method," IEEE Transactions on Image Processing, vol. 19, pp. 1558 –1566, June 2010.
• Q. Lin, Y. Han and H. Hahn, "Real-time lane departure detection based on extended edge-linking algorithm", In IEEE 2nd International Conference on Computer Research and Development, pp. 725-730, 2010.
• Z. Teng, J. H. Kin and D. J. Kang, "Real-time Lane detection by using multiple cues", In IEEE International Conference on Control Automation and Systems, , pp. 2334 - 2337, 2010.
• Shoaib Zaidi, Mir Shabbar Ali, Sohaib Nomani, Annus Bin Khalid and Fawad Shamim, "Automated lane coloration for vehicular traffic", NED University of Engineering and Technology, 2012.
• Zhe X, Zhifeng L, "A robust lane detection method in the different scenarios," Mechatronics and Automation (ICMA), 2012 International Conference on, IEEE, 2012, pp. 1358-1363.
• Benligiray B, Topal C, Akinlar C, "Video-Based Lane Detection Using a Fast Vanishing Point Estimation Method," Multimedia (ISM), 2012 International Symposium on, IEEE, 2012, pp. 348-351.
• F. Mariut, C. Fosalau and D. Petrisor, "Lane Mark Detection Using Hough Transform", In IEEE International Conference and Exposition on Electrical and Power Engineering, pp. 871 - 875, 2012.
• Xiaodong Miao, Shunming Li and Huan Shen, "Onboard lane coloration system for intelligent vehicle based on monocular vision", International journal on smart sensing and intelligent systems, vol. 5, no. 4, pp. 957- 972, 2012.
• A. Bar Hillel, R. Lerner, D. Levi, and G. Raz, "Recent progress in road and lane detection: a survey," Machine Vision and Applications, pp. 1–19, 2012.
• N. Phaneendra, G. Goud and V. Padmaja, "Accident Avoiding System Using Lane Detection", International Journal of Research in Electronics and Communication Engineering, vol. 1, no. 1, pp. 1 - 4, 2013.
• Ding, Dajun, Chanho Lee, and Kwang-yeob Lee. "An adaptive road ROI determination algorithm for lane detection. " In TENCON 2013-2013 IEEE Region 10 Conference (31194), pp. 1-4. IEEE, 2013.
• Rahmdel, Payam S. , Daming Shi, and Richard Comley. "Lane detection using Fourier-based line detector. " In Circuits and Systems (MWSCAS), 2013 IEEE 56th International Midwest Symposium on, pp. 1282-1285. IEEE, 2013.
• S. Srivastava, R. Singal and M. Lumb, "Efficient Lane Detection Algorithm using Different Filtering Techniques", International Journal of Computer Applications, vol. 88, no. 3, pp. 975-8887, 2014.
• S. Rajandeep, S. Prabhdeep. "Evaluating the performance of integrated lane colorization using hough transformation and bilateral filter" International Journal of Emerging Trends & Technology in Computer Science, vol. 3, pp. 152-157, 2014.
• K. Amandeep, S. Tanupreet," A Review on Lane Detection In Vehicular Ad-hoc Network". Journal of Computing Technologies, vol. 3, pp. 2278 – 3814.
• S. Tanupreet, D. Shivani, D. Vikrant. "Energy -Efficient Routing Protocols In Mobile Ad-Hoc Networks". International Journal of Advanced Research in Computer Science and Software Engineering, vol. 2, 2014.
• S. Tanupreet, Singh R. K, V. Jayant, "Routing Protocols in Ad Hoc Networks: A Review ", International Journal of Computer Applications, pp. 30-35, 2011.
• S. Tanupreet, Singh R. K, S. Vishal, " Efficient Cluster Elimination Protocol (ECEP) for Ad Hoc Networks ", International Journal of Computer Applications, pp. 19-23, 2012.
• S. Tanupreet, K. Satinder, " Security Threats in Mobile Adhoc Network:A Review ", International Journal of Computer Networks and Wireless Communications, 2012.
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