Situation assessment for automatic lane-change maneuvers

IEEE Transactions on Intelligent Transportation Systems

Volumn 11, Issue 3, 2010, Pages 607-616

  Schubert, Robin ^a   Schulze, Karsten ^b   Wanielik, Gerd ^a  

^a CHEMNITZ UNIVERSITY OF TECHNOLOGY   (Germany)

^b IAV GMBH   (Germany)

Author keywords

Advanced driver assistance systems; Bayesian networks; decision making; lane recognition; situation assessment; vehicle tracking

Indexed keywords

AUTOMATED DRIVING; CONCEPT VEHICLES; CURRENT RESEARCHES; DRIVER-ASSISTANCE SYSTEMS; LANE AND VEHICLE DETECTION; LANE RECOGNITION; PROTOTYPICAL IMPLEMENTATION; SITUATION ASSESSMENT; TRAFFIC SAFETY; TRAFFIC SITUATIONS; UNSCENTED KALMAN FILTERING; VEHICLE TRACKING;

DECISION MAKING; DISTRIBUTED PARAMETER NETWORKS; IMAGE PROCESSING; INFERENCE ENGINES; INTELLIGENT NETWORKS; MANEUVERABILITY; SPEECH RECOGNITION; TRACKING (POSITION);

BAYESIAN NETWORKS;

EID: 77956340777     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2010.2049353     Document Type: Article

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