Camera and imaging radar feature level sensorfusion for night vision pedestrian recognition

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2009, Pages 597-603

  Serfling, Matthias ^a   Loehlein, Otto ^a   Schweiger, Roland ^a   Dietmayer, Klaus ^b  

^a DAIMLER AG   (Germany)

^b UNIVERSITY OF ULM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADABOOST; CAMERA SENSOR; CLASSIFICATION TASKS; COMPLEX SIGNAL; FEATURE LEVEL; IMAGING RADAR; LOCAL SIMILARITY MEASURE; MULTIPLE CLASSIFIERS; NIGHT VISION; OPTIMAL SELECTION; PARAMETERIZED; PEDESTRIAN DETECTION SYSTEM; PEDESTRIAN RECOGNITION; REAL TIME; SCANNING RADAR; SENSOR FUSION; SUPERVISED TRAINING ALGORITHM; VELOCITY DIFFERENCE;

ADAPTIVE BOOSTING; CAMERAS; FEATURE EXTRACTION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; OBJECT RECOGNITION; PEDESTRIAN SAFETY; RADAR; RADAR IMAGING; SIGNAL PROCESSING;

SENSORS;

EID: 70449556652     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2009.5164345     Document Type: Conference Paper

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