Multiple target detection and tracking by interacting joint probabilistic data association filter and Bayesian networks: Application to real data

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2009, Pages 400-407

  Jida, Bassem ^a,b   Lherbier, Régis ^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; JPDA filter; Multiple target detection and modeling; Occultation

Indexed keywords

CONTEXTUAL INFORMATION; DETECTION PROBABILITIES; JOINT PROBABILISTIC DATA ASSOCIATION FILTERS; JOINT PROBABILITY; JPDA FILTER; LASER SCANNER; MEASUREMENT UNCERTAINTY; MULTIPLE TARGETS; PROBABILITY OF DETECTION; SCANNING LASERS; SENSOR CHARACTERISTICS; TARGET MODEL;

DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; KNOWLEDGE BASED SYSTEMS; SENSORS; SPEECH RECOGNITION; TARGET DRONES; TARGET TRACKING; TARGETS; UNCERTAINTY ANALYSIS; VEHICLE LOCATING SYSTEMS;

BAYESIAN NETWORKS;

EID: 72449195301     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2009.5309828     Document Type: Conference Paper

References (7)

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