Vision-based robust road lane detection in urban environments

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2014, Pages 4920-4925

  Beyeler, Michael ^a,b   Mirus, Florian ^a   Verl, Alexander ^a  

^a FRAUNHOFER INSTITUTE FOR MANUFACTURING ENGINEERING AND AUTOMATION IPA   (Germany)

^b Irvine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILE DRIVERS; IMAGE SEGMENTATION; ROADS AND STREETS;

AUTONOMOUS DRIVING; COMMERCIAL DRIVERS; ILLUMINATION INVARIANT; RANDOM SAMPLE CONSENSUS; REAL-TIME COMPUTATIONS; ROAD LANE DETECTIONS; SEGMENTATION PERFORMANCE; URBAN TRAFFIC SCENARIOS;

ROAD AND STREET MARKINGS;

EID: 84929192893     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2014.6907580     Document Type: Conference Paper

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