Situation aspect modelling and classification using the scenario based random forest algorithm for convoy merging situations

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2010, Pages 360-366

  Reichel, Michael ^a   Botsch, Michael ^b   Rauschecker, Robert ^c   Siedersberger, Karl Heinz ^b   Maurer, Markus ^a  

^a TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

^b AUDI AG   (Germany)

^c CARMEQ GMBH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED DRIVER ASSISTANCE SYSTEMS; CLASSIFICATION METHODS; CLASSIFICATION RESULTS; CLASSIFICATION TASKS; DOWNSAMPLING; ESTIMATION TECHNIQUES; FEATURE SELECTION; FEATURE SELECTION AND CLASSIFICATION; FEATURE SETS; RANDOM FOREST ALGORITHM; RANDOM FORESTS; REAL TRAFFIC; SITUATION ANALYSIS; TRAFFIC SITUATIONS; UNBALANCED DATA;

ALGORITHMS; AUTOMOBILE DRIVERS; DECISION TREES; INTELLIGENT SYSTEMS; MERGING;

FEATURE EXTRACTION;

EID: 78650499715     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2010.5625213     Document Type: Conference Paper

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