A fast and robust approach to lane marking detection and lane tracking

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Volumn , Issue , 2008, Pages 57-60

  Lipski, Christian ^a   Scholz, Björn ^a   Berger, Kai ^a   Linz, Christian ^a   Stich, Timo ^a   Magnor, Marcus ^a  

^a TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS VEHICLES; FEATURE DETECTION ALGORITHM; GRAPHICS HARDWARE; INPUT IMAGE; LANE DETECTION; LANE MARKING DETECTION; LANE MARKINGS; LANE TRACKING; LOCAL HISTOGRAM; OBSTACLE DETECTION; SURFACE CLASSIFICATION; VISION BASED;

IMAGE ANALYSIS; OBSTACLE DETECTORS; OPTICAL RADAR; SIGNAL DETECTION;

ROAD AND STREET MARKINGS;

EID: 70149122818     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSIAI.2008.4512284     Document Type: Conference Paper

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