Use of contextual information by bayesian networks for multi-object tracking in scanning laser range data

2009 9th International Conference on Intelligent Transport Systems Telecommunications, ITST 2009

Volumn , Issue , 2009, Pages 97-102

  Lherbier, Régis ^a,b   Jida, Bassem ^a,b   Noyer, Jean Charles ^a,b   Wahl, Martine ^a,c  

^a UNIV LILLE   (France)

^b UNIVERSITÉ DU LITTORAL CÔTE D OPALE   (France)

^c French Institute of Science and Technology for Transport Development and Networks   (France)

Author keywords

Bayesian networks; Detection; Joint probabilistic data association; Laser range finder; Multi object tracking

Indexed keywords

CONTEXTUAL INFORMATION; DETECTION PROBABILITIES; FALSE ALARM PROBABILITY; FASTER REACTIONS; JOINT PROBABILISTIC DATA ASSOCIATION; LASER RANGE FINDER; LASER RANGE FINDERS; LOCAL SYSTEM; MULTI-OBJECT TRACKING; MULTI-TARGET TRACKING; ON-BOARD SYSTEMS; PROBABILISTIC CHARACTERISTICS; SCANNING LASERS; SURVEILLANCE SYSTEMS; VEHICLE TO VEHICLES;

DETECTORS; DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INFORMATION USE; INTELLIGENT NETWORKS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; PROBABILITY; RANGE FINDERS; RANGE FINDING; SPEECH RECOGNITION; TARGET TRACKING; TRACKING (POSITION); VEHICLES;

BAYESIAN NETWORKS;

EID: 77950433200     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITST.2009.5399377     Document Type: Conference Paper

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