Linear fuzzy space based road lane model and detection

Duda, 1972, Use of the Hough transformation to detect lines and curves in pictures, Communications of the ACM, 15, 11, 10.1145/361237.361242

Li, 2004, Springrobot: a prototype autonomous vehicle and its algorithms for lane detection, IEEE Transactions on Intelligent Transportation Systems, 5, 300, 10.1109/TITS.2004.838220

B. Yu, A.K. Jain, Lane boundary detection using a multiresolution Hough transform, in: Proceedings of the International Conference on Image Processing, vol. 2, 1997, pp. 748–751.

McCall, 2006, Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation, IEEE Transactions on Intelligent Transportation Systems, 7, 20, 10.1109/TITS.2006.869595

Pomerleau, 1996, Neural network vision for robot driving, The Handbook of Brain Theory and Neural Networks, 161

Kang, 2003, Road lane segmentation using dynamic programming for active safety vehicles, Pattern Recognition Letters, 24, 3177, 10.1016/j.patrec.2003.08.003

C. Kreucher, S. Lakshmanan, K. Kluge, A driver warning system based on the LOIS LANE detection algorithm, in: Proceedings of the 1998 IEEE International Conference on Intelligent Vehicles, 1998.

Kreucher, 1999, LANA: a lane extraction algorithm that uses frequency domainfeatures, IEEE Transactions on Robotics and Automation, 15, 343, 10.1109/70.760356

Wang, 2010, Applying fuzzy method to vision-based lane detection and departure warning system, Expert Systems with Applications, 37, 113, 10.1016/j.eswa.2009.05.026

Chen, 1997, Vision-based autonomous land vehicle guidance in outdoor road environments using combined line and road following techniques, Journal of Robotic Systems, 14, 711, 10.1002/(SICI)1097-4563(199710)14:10<711::AID-ROB2>3.0.CO;2-X

Yue Wang, Eam Khwang Teoh, Dinggang Shen, Lane detection using B-snake, in: Proceedings of the International Conference on Information Intelligence and Systems, 1999, pp. 438–443.

Bai, 2008, An extended hyperbola model for road tracking for video-based personal navigation, Knowledge-Based Systems, 21, 265, 10.1016/j.knosys.2007.11.012

Obradović, 2011, The maximal distance between imprecise point objects, Fuzzy Sets and Systems, 170, 76, 10.1016/j.fss.2010.12.005

L. Guibas, D. Salesin, J. Stolfi, Epsilon geometry: building robust algorithms from imprecise computations, in: Proceedings of the Fifth Annual Symposium on Computational Geometry, New York, NY, USA, 1989, pp. 208–217.

M. Löffler, M. van Kreveld, Geometry with imprecise lines, in: 24th European Workshop on Computational Geometry, 2008.

M. Löffler, Data Imprecision in Computational Geometry, Ph.D. Thesis, Utrecht University, Utrecht, 2009.

Löffler, 2008, Largest and smallest convex hulls for imprecise points, Algorithmica, 56, 235, 10.1007/s00453-008-9174-2

Yang, 2011, Robust line detection using two-orthogonal direction image scanning, Computer Vision and Image Understanding, 115, 1207, 10.1016/j.cviu.2011.03.010

Kiryati, 1991, A probabilistic Hough transform, Pattern Recognition, 24, 303, 10.1016/0031-3203(91)90073-E

Stephens, 1991, Probabilistic approach to the Hough transform, Image and Vision Computing, 9, 66, 10.1016/0262-8856(91)90051-P

C. Galambos, J. Matas, J. Kittler, Progressive probabilistic Hough transform for line detection, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, 1999.

Matas, 2000, Robust detection of lines using the progressive probabilistic Hough transform, Computer Vision and Image Understanding, 78, 119, 10.1006/cviu.1999.0831

C. Galambos, J. Kittler, J. Matas, Using gradient information to enhance the progressive probabilistic Hough transform, in: Proceedings 15th International Conference on Pattern Recognition, ICPR’2000, Barcelona, Spain, pp. 560–563.

M. Schneider, Fuzzy topological predicates, their properties, and their integration into query languages, in: Proceedings of the 9th ACM international Symposium on Advances in Geographic Information Systems, 2001, pp. 9–14.

Rosenfeld, 1984, The fuzzy geometry of image subsets, Pattern Recognition Letters, 2, 311, 10.1016/0167-8655(84)90018-7

Schneider, 2003, Design and implementation of finite resolution crisp and fuzzy spatial objects, Data & Knowledge Engineering, 44, 81, 10.1016/S0169-023X(02)00131-3

Buckley, 1997, Fuzzy plane geometry I. Points and lines, Fuzzy Sets and Systems, 86, 179, 10.1016/0165-0114(95)00342-8

Schneider, 1997

Ð. Obradović, Z. Konjović, E. Pap, Extending PostGIS by imprecise point objects, in: IEEE 8th International Symposium on Intelligent Systems and Informatics, Subotica, Serbia, 2010, pp. 23–28.

Verstraete, 2005, Field based methods for the modeling of fuzzy spatial data, Fuzzy Modeling with Spatial Information for Geographic Problems, 41, 10.1007/3-540-26886-3_3

Haibin, 2008, Computational models for computing fuzzy cardinal directional relations between regions, Knowledge-Based Systems, 21, 599, 10.1016/j.knosys.2008.03.017