Details
Title
Lane Detection by Dynamic Origin Technique for Advanced Driver Assistance SystemJournal title
International Journal of Electronics and TelecommunicationsYearbook
2021Volume
vol. 67Issue
No 4Affiliation
Maya, P. : B S Abdur Rahman Crescent Institute of Science and Technology, Chennai, India ; Tharini, C. : B S Abdur Rahman Crescent Institute of Science and Technology,Chennai, IndiaAuthors
Keywords
Advanced Driver Assistance System (ADAS) ; Machine Vision Research ; Lane Detection ; Piecewise Linear Stretching Function ; Slope DetectionDivisions of PAS
Nauki TechniczneCoverage
589-594Publisher
Polish Academy of Sciences Committee of Electronics and TelecommunicationsBibliography
[1] V. Gaikwad, S. Lokhande, “Lane departure identification for advanced driver assistance,” IEEE Transactions on Intelligent Transportation Systems., 2015, 16(2): 910–918.[2] Sandipann P. Narote, Pradnya N. Bhujbal, Abbhilasha S. Narote, Dhiraj M. Dhane, “A review of recent advances in lane detection and departure warning,” System. Pattern Recognition, 2018, 73:216-234.
[3] P.C. Wu, C. Chang, C.H. Lin, “Lane mark extraction for automobiles under complex conditions,” Pattern Recognition, 2014, 47: 2756–2767.
[4] C. Mu, X. Ma, “Lane detection based on object segmentation and piecewise fitting,” Telkomnika Indonesian Journal of Electrical Engineering, 2014, 12(5):3491–3500.
[5] CALTECH database http://www.vision.caltech.edu/archive.html
[6] Y. Dong, J. Xiong, L. Li, J. Yang “Lane detection based on object segmentation and piecewise fitting,” ICCP proceedings, 2012, 461–464.
[7] P. Hsiao, C.W. Yeh, S. Huang, L.C. Fu, “Portable vision based real time lane departure warning system day and night,” IEEE Transactions on Vehicular Technology,2009, 58(4):2089–2094.
[8] Prashanth Viswanath, Pramod Swami, “A Robust and Real -Time Image Based Lane Departure Warning System,” IEEE International Conference on Consumer Electronics, 2016.
[9] Minghua Niu, Jianmin Zhang, Gen Li, “Research on the Algorithms of Lane Recognition based on Machine Vision,” International Journal of Intelligent Engineering and Systems, 2015, 8(4).
[10] Gulivindala Suresh,Chanamallu Srinivasa Rao, “Localization of Copy-Move Forgery in Digital Images through Differential Excitation Texture Features,” International Journal of Intelligent Engineering and Systems, 2019, 12(2).
[11] C.R. Jung, C.R. Kelber, “Lane following and lane departure using a linear parabolic mode,” Image and Vision Computing, 2005, 23(13):1192–1202.
[12] D. Kragic, L. Petersson and H.I. Christensen, “Visually guided manipulation tasks,” Robotics and Autonomous Systems, 2002, 40(2/3):193-203.
[13] J.W. Lee, “A machine vision system for lane departure detection. Computing,” Vision Image Understanding, 2002, 86(1): 52–78.
[14] J. Melo, A. Naftel, A. Bernardino, J. Santos, “Detection and classification of highway lanes using vehicle motion trajectories,” IEEE Transactions on Intelligent Transportation Systems, 2006, 7(2): 188–200.
[15] Chaiwat Nuthong; Theekapun Charoenpong, “Lane detection using smoothing,” 3rd International Congress on Image and Signal Processing, 2010, 989-993.
[16] Bing Yu; Weigong Zhang; Yingfeng Cai, “A Lane Departure Warning System Based on Machine Vision,” Proceeding IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008, 197-201.
[17] J.G. Wang, C. Lin, S. Chen, “Applying fuzzy method to vision-based lane detection and departure warning system,” Expert Systems with Applications, 2010, 3(1):113–126.
[18] H. Xu, H. Li, “Study on a robust approach of lane departure warning algorithm,” IEEE International Conference on Signal Processing System (ICSPS), 2010, 201–204.
[19] S. Srivastava, M. Lumb, R. Singal, “Improved Lane Detection using Hybrid Median Filter and Modified Hough Transform,” International Journal of Advanced Research in Computer Science and Software Engineering, 2014, 4(1): 30–37.
[20] H. Aung, M.H. Zaw, “Video based lane departure warning system using hough transform,” International Conference on Advances in Engineering and Technology (ICAET), 2010, 85–88.
[21] X. An, E. Shang, J. Song, J. Li, H. He, “Real-time lane departure warning system based on a single fpga,” Eurasip Journal on Image and Video Processing, 2013,38(1–18).
[22] J. Son, H. Yoo, S. Kim, K. Sohn, “Real-time illumination invariant lane detection for lane departure warning system,” Expert Systems with Applications, 2015, 42(4):1816–1824.
[23] Y. Wang, D. Shen, E.K. Teoh, “Lane detection using spline model,” Pattern Recognition, 2000, 21(9): 677–689.
[24] C.J. Lin, J.G. Wang, S.M. Chen, C.Y. Lee, “Design of a lane detection and departure warning system using functional link-based neuro-fuzzy network,” IEEE International Conference on Fuzzy System (FUZZ), 2010, 1–7.
[25] Q. Lin, Y. Han, H. Hahn, “Real time lane detection based on extended edge-linking algorithm,” IEEE International Conference on Computer Research and Development, 2010, 725–730.
[26] C. Tu, B.V. Wyk, Y. Hamam, K. Djouni, S. Du, “Vehicle Position Monitoring using,” Hough Transform.IERI Procedia, 2013;4:316–322.
[27] E. Salari, D. Ouyang, “Camera-based forward collision and lane departure warning system using svm,” IEEE 56th International Midwest Symp. On Circuits and Systems (MWSCAS), 2013,1278–1281.
[28] A.S. Aguadoa, Eugenia, Montie and M. S. Nixonc, “Invariant characterisation of the Hough transform for pose estimation of arbitrary shapes,” Pattern Recognition, 2002, 35(5):1083-1097.
[29] Borkar, M. Hayes, M. Smith, “Robust lane detection and tracking with ransac and kalman filter,” 16th IEEE International Conference on Image Processing (ICIP), 2009, 3261–3264.
[30] N. Madrid, P. Hurtik “Lane departure warning for mobile devices based on a fuzzy representation of images,” Fuzzy Sets System, 2016, 291:144–159.
[31] P.Maya, C.Tharini, “Performance Analysis of Lane Detection Algorithm using Partial Hough Transform,” 21st International Arab Conference on Information Technology (ACIT'2020), 2020, Egypt.