Monocular road segmentation using slow feature analysis

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2011, Pages 800-806

  Kühnl, Tobias ^a,b   Kummert, Franz ^a   Fritsch, Jannik ^b  

^a BIELEFELD UNIVERSITY   (Germany)

^b HONDA RESEARCH INSTITUTE EUROPE GMBH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED DRIVER ASSISTANT SYSTEMS; BOUNDARY DETECTION; BOUNDARY ERRORS; BOUNDARY REGIONS; CLASSIFICATION ERROR RATE; DESCRIPTORS; FEATURE SETS; INVERSE PERSPECTIVE MAPPINGS; LOW ORDER; METRIC INFORMATION; MONOCULAR CAMERAS; NON-ROAD; PERSPECTIVE IMAGE; PIXEL LEVEL; POST PROCESSING; QUALITY MEASUREMENTS; ROAD DETECTION; ROAD SEGMENTATION; SEGMENTATION RESULTS; SLOW FEATURE ANALYSIS; TEXTURE FEATURES; TWO-STEP APPROACH; WALSH-HADAMARD; WEATHER CONDITIONS;

AUTOMOBILE DRIVERS; IMAGE SEGMENTATION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; QUALITY CONTROL;

ROADS AND STREETS;

EID: 79960798055     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2011.5940416     Document Type: Conference Paper

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