Probabilistic rail vehicle localization with eddy current sensors in topological maps

IEEE Transactions on Intelligent Transportation Systems

Volumn 12, Issue 4, 2011, Pages 1525-1536

  Hensel, Stefan ^a   Hasberg, Carsten ^a   Stiller, Christoph ^a  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

Eddy current sensors (ECSs); hidden Markov models (HMMs); sequential Monte Carlo (SMC); train localization

Indexed keywords

BAYESIAN INFERENCE; EDDY CURRENT SENSORS; GLOBAL NAVIGATION SATELLITE SYSTEMS; HIGH RELIABILITY; IS COSTS; KEY ELEMENTS; LOCALIZATION INFORMATION; ON-BOARD SENSORS; PROBABILISTIC FRAMEWORK; RAIL VEHICLES; RAILWAY STATIONS; REAL TIME; REAL WORLD DATA; RELIABILITY AND AVAILABILITY; SATELLITE SIGNALS; SEQUENTIAL MONTE CARLO; SEQUENTIAL MONTE CARLO SAMPLING; SIGNAL PROCESSING TECHNIQUE; SPEED ESTIMATION; SPEED INFORMATION; TOPOLOGICAL MAP; TRAIN CONTROL SYSTEMS; TRAIN LOCALIZATION;

BAYESIAN NETWORKS; DATA FUSION; EDDY CURRENT TESTING; EDDY CURRENTS; ELECTROMAGNETIC FIELD EFFECTS; GLOBAL POSITIONING SYSTEM; HIDDEN MARKOV MODELS; INFERENCE ENGINES; MONTE CARLO METHODS; NAVIGATION SYSTEMS; PATTERN RECOGNITION; RAIL MOTOR CARS; RAILROADS; SENSORS; SIGNAL PROCESSING; SIGNALING; TOPOLOGY; VEHICLES;

TRACKING (POSITION);

EID: 82455210953     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2011.2161291     Document Type: Article

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