A driver adaptive lane departure warning system based on image processing and a fuzzy evolutionary technique

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2003, Pages 361-365

  Kim, Sam Yong ^a   Oh, Se Young ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; TRACTION (FRICTION);

DEPARTURE MODELS; DISTURBANCE FACTORS; EVOLUTIONARY TECHNIQUES; FIXED THRESHOLD; HARDWARE IN-THE-LOOP SIMULATION; LANE DEPARTURE WARNING; LANE-DEPARTURE-WARNING SYSTEMS; TIME TO LANE CROSSINGS;

ALARM SYSTEMS;

EID: 84908239151     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2003.1212937     Document Type: Conference Paper

References (6)

1. l] DW-Hyun Choi and Se-Young Oh, "A new mutation rule of evolutioaary programming motivated from backpropagation learning, " IEJE Trans. on Evolutionary Computation, vol. 4, no. 2, pp. 188-190 July 2000.
2. L: A. Zadeh Fuzzy Sets In Contml, vol. 8, pp. 338-353, 1965.
3. M. Bertozzi and A. Broggi, " GOLD: A Parallel Real-Time Stereo Vision System for Generic Obstacle and Lane Detection," IEEE Trmactionr on Image Processing, vol. I, no. 1, pp. 62-81, 1998.
4. Nationa l Highway Transportation and Safety Administration, " Fatality analysis reporting system," On the web at hnp:/. nhtsa. dot. gov/fms.
5. Parag H. Batavia Driver-Adaptive Lane Departwe Warning System PhD thesis CMU September, 1999.
6. Younguk Ti and ,Se-Young Oh, "Three-Feature Based Automatic '. Lane Detection A lgotitbm for Autonomous Driving. " Proc. of the Inrernationol Conference on Intelligent Transportrrrion System (ITSC99). Tokyo; October 1999.