|| Shengyan Zhou, Yanhua Jiang, Junqiang Xi, Jianwei Gong, Guangming Xiong, and Huiyan Chen, “A novel lane detection based on geometrical model and Gabor filter, ” in Intelligent Vehicles Symposium, 2010.|
 Mirko Felisa, and Paolo Zani , “Robust monocular lane detection in urban environments, “ in Intelligent Vehicles Symposium University of California, 2010.
 Yong Chen, Mingyi He, and Yifan Zhang, “Robust Lane Detection Based on Gradient Direction, “ IEEE Conference on Industrial Electronics and Applications, 2011.
 Y. Zhou, R. Xu, X. Hu, and Q. Ye, “A robust lane detection and tracking method based on computer vision, ” on Measurement Science and Technology, 2006.
 Q. Li, N. Zheng, H. Cheng, ” a prototype autonomous vehicle and its algorithms for lane detection, ” IEEE Transactions on Intelligent Transportation Systems, 2004.
 Y. Wang, L. Bai, and F. Michael, “Robust road modeling and tracking using condensation, “ IEEE Transactions on Intelligent Transportation Systems, 2008.
 Amol Borkar, Monson Hayes, and Mark T. Smith, ” Polar randomized hough transform for lane detection using loose constraints of parallel lines, “ IEEE International Conference on Acoustics, Speech and Signal Processing, 2011.
 Shasha Dong, Cheng Peng, “A Lane Detection Method based on Track Management Approach, ” on Multisensor Fusion and Information Integration for Intelligent Systems, 2014.
 Tan-Hung Duong, Sun-Tae Chung, Seongwon Cho, “Model-Based Robust Lane Detection for Driver Assistance, ” on Jounal of Korea Multimedia Society, 2014.
 Chi-Feng Wu, Cheng-Jian Lin, Member and Chi-Yung Lee , “Applying a Functional Neurofuzzy Network to Real-Time Lane Detection and Front-Vehicle Distance Measurement, “ in Systems, Man, and Cybernetics, 2012.
 Sayanan Sivaraman, Mohan Manubhai Trivedi, “Integrated Lane and Vehicle Detection, Localization, and Tracking: A Synergistic Approach, “ on Intelligent Transportation Systems, 2013..
 Gwang Yul Song, Ki Yong Lee, and Joon Woong Lee, ”Vehicle Detection by Edge-Based Candidate Generation and Appearance-based Classification, “ on Intelligent Vehicles Symposium, 2008.
 Ravi Kumar Satzoda, and Mohan M. Trivedi, “Efficient Lane and Vehicle detection with Integrated Synergies (ELVIS), “ IEEE Conference on Computer Vision and Pattern Recognition, 2014.
 Vinh Dinh Nguyen, Thuy Tuong Nguyen, Dung Duc Nguyen and Jae Wook Jeon, “Real-Time Vehicle Detection Design and Implementation on GPU, “ in International Conference on Control, Automation and Systems, 2011.
 M. Bertozzi, A. Broggi, and S. Castelluccio, “A Real-Time Oriented System for Vehicle Detection, “ in Systems Architecture, 1997.
 Luo-Wei Tsai, Jun-Wei Hsieh, and Kuo-Chin Fan, “Vehicle Detection Using Normalized Color and Edge Map, “ on Image Processing, 2007.
 Jun-Wei Hsieh, Li-Chih Chen, Sin-Yu Chen, Duan-Yu Chen, Salah Alghyaline, and Hui-Fen Chiang, “Vehicle Color Classification Under Different Lighting Conditions Through Color Correction, ” on Sensors Journal, 2015.
 Wei Liu, XueZhi Wen, Bobo Duan, Huai Yuan and Nan Wang, ”Rear Vehicle Detection and Tracking for Lane Change Assist, “ on Intelligent Vehicles Symposium, 2007.
 Soo Siang Teoh, and Thomas Bräunl, ”Symmetry-based monocular vehicle detection system, “ in Machine Vision and Applications, 2012.
 Jun-Wei Hsieh, Li-Chih Chen, Duan-YU Chen, “Symmetrical SURF and its Applications to Vehicle Detection and Vehicle Make and Model Recognition, ” IEEE Trans. on Intelligent Transportation System, 2014.
 Yu-Chen Lin, Che-Chung Lin, Long-Tai Chen, and Ching-Kun Chen , ”Adaptive IPM-Based Lane Filtering for Night Forward Vehicle Detection, “ on Industrial Electronics and Applications , 2011.
 Ying-Che Kuo, and Hsuan-Wen Chen, “Vision-based Vehicle Detection in the Nighttime, “ on Computer Communication Control and Automation, 2010.
 Xin Li, XiaoCao Yao, Yi L. Murphey, Robert Karlsen, and Grant Gerhart, “A Real-Time Vehicle Detection and Tracking System in Outdoor Traffic Scenes, “ International Conference on Pattern Recognition, 2004.
 Shen Xu, and Yi L. Murpheym, ”Vehicle Detection using Bayesian Network Enhanced Cascades Classification (BNECC), “ International Joint Conference on Neural Networks, 2010.
 Herbert Bay, Tinne Tuytelaars, and Luc Van Gool, “SURF: Speeded Up Robust Features, ” on Computer Vision, 2006.
 Freund , Yoav, Schapire, Robert, “A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting, ” Computational Learning Theory Lecture Notes in Computer Science, 1995.
 C. Garcia and M. Delakis, “Convolutional Face Finder: A Neural Architecture for Fast and Robust Face Detector, ” on Pattern Analysis and Machine Intelligence, 2004.
 R. O. Duda and P. E. Hart, “Use of the Hough Transformation to detect lines and curves in pictures , “ Communications of the ACM, 1972.
 B. D. Lucas and T. Kanade, “ An Iterative Image Registration Technique with An Application to Stereo Vision, “ in Proc. DARPA Image Understanding Workshop, 1981.
 B. J. Yves, “Pyramidal Implementation of The Lucas-Kanade Feature Tracker, ” Microsoft Research Labs, Tech. Rep, 1999.