Robust lane lines detection and quantitative assessment

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4477 LNCS, Issue PART 1, 2007, Pages 274-281

  López, Antonio ^a   Serrat, Joan ^a   Cañero, Cristina ^a   Lumbreras, Felipe ^a  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; COMPUTATIONAL METHODS; FEATURE EXTRACTION; LIGHTING; RELIABILITY THEORY; ROBUST CONTROL;

AMBIENT LIGHTING; LANE MARKINGS; OCCLUDED MARKINGS; VIDEO SEQUENCES;

ROADS AND STREETS;

EID: 38149014694     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72847-4_36     Document Type: Conference Paper

References (10)

1. Jung, C.R., Kelber, C.R.: Lane following and lane departure using a linear-parabolic model. Image and Vision Computing 23, 1192-1202 (2005)
2. Bertozzi, M., Broggi, A., Fascioli, A.: Vision-based Intelligent Vehicles: State of the Art and Perspectives. Robotics and Autonomous Systems 32, 1-16 (2000)
3. López, A., Cañero, C., Serrat, J., Saludes, J., Lumbreras, F., Graf. T.: Detection of Lane Markings based on Ridgeness and RANSAC, IEEE Conf. on Intelligent Transportation Systems, Vienna pp. 733-738, (2005)
4. López, A., Lloret, D., Serrat, J., Villanueva, J.: Multilocal Creaseness Based on the Level-Set Extrinsic Curvature. Computer Vision and Image Understanding 77, 111-144 (2000)
5. Dickmanns, E.D., Mysliwetz, B.D.: Recursive 3D road and relative ego-state recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence 14, 199-213 (1992)
6. Guiducci, A.: Parametric Model of the Perspective Projection of a Road with Application to Lane Keeping and 3D Road Reconstruction. Computer Vision and Image Understanding, 73, 414-427 (1999)
7. Zhang, Z.: A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11), 1330-1334 (2000)
8. Aufrère, R., Chapuis, R., Chausse, F.: A Model-Driven Approach for Real-Time Road Recognition. Machine Vision and Applications 13, 95-107 (2001)
9. Fischler, M.A., Bolles, R.C.: Random Sample Consensus: a Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. Commun. ACM, 24, 381-395 (1981)
10. McCall, J.C., Trivedi, M.M.: Video-based lane estimation and tracking for driver assistance: survey, system and evaluation. IEEE Trans. on Intelligent Transportation Systems 7(1), 20-37 (2006)