A Lidar and vision-based approach for pedestrian and vehicle detection and tracking

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2007, Pages 1044-1049

  Premebida, Cristiano ^a   Monteiro, Gonçalo ^a   Nunes, Urbano ^a   Peixoto, Paulo ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; LASERS; LEARNING SYSTEMS; OPTICAL RADAR; VEHICLE LOCATING SYSTEMS; VEHICLES;

ADABOOST; BAYESIAN; CLASSIFICATION TECHNIQUES; DECISION RULES; DETECTION AND TRACKING; GAUSSIAN MIXTURE-MODEL CLASSIFIER; IN-VEHICLE; INTELLIGENT TRANSPORTATION SYSTEMS; MONOCULAR VISION; OBJECT CLASSIFICATION; PROPOSED ARCHITECTURES; SEMI-STRUCTURED; VEHICLE DETECTION; VISION-BASED;

CLASSIFICATION (OF INFORMATION);

EID: 49249104732     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2007.4357637     Document Type: Conference Paper

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