Superpixel-based obstacle segmentation from dense stereo urban traffic scenarios using intensity, depth and optical flow information

2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

Volumn , Issue , 2014, Pages 1662-1668

  Giosan, Ion ^a   Nedevschi, Sergiu ^a  

^a TECHNICAL UNIVERSITY OF CLUJ NAPOCA   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; OBSTACLE DETECTORS; OPTICAL FLOWS; SUPERPIXELS;

DRIVING ASSISTANCE SYSTEMS; INTENSITY INFORMATION; OBSTACLE CLASSIFICATION; OBSTACLE SEGMENTATION; QUANTITATIVE EVALUATION; SEMI-GLOBAL MATCHING; STEREO RECONSTRUCTION; URBAN TRAFFIC SCENARIOS;

STEREO IMAGE PROCESSING;

EID: 84929521678     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2014.6957932     Document Type: Conference Paper

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