FISST-SLAM: Finite set statistical approach to simultaneous localization and mapping

International Journal of Robotics Research

Volumn 29, Issue 10, 2010, Pages 1251-1262

  Kalyan, B ^a   Lee, K W ^a   Wijesoma, W S ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

probability hypothesis density filter; random finite sets; SLAM

Indexed keywords

ALTERNATIVE FRAMEWORK; AUTONOMOUS VEHICLES; CLUTTER FILTERING; DATA ASSOCIATION; EFFECTIVE SOLUTION; FALSE ALARMS; FAST-SLAM; FINITE SET; FINITE SET STATISTICS; PARTICLE FILTER; PROBABILITY HYPOTHESIS DENSITY FILTER; RANDOM FINITE SETS; RECURSIONS; RECURSIVE BAYESIAN ESTIMATION; SENSOR MODEL; SEQUENTIAL MONTE CARLO IMPLEMENTATIONS; SIMULATION RESULT; SIMULTANEOUS LOCALIZATION AND MAPPING; SLAM; STATE-SPACE; STATISTICAL APPROACH; STOCHASTIC FRAMEWORK; STOCHASTIC VECTORS; VECTOR-BASED; VEHICLE MODEL; VEHICLE STATE; VEHICLE TRAJECTORIES;

ALGORITHMS; BAYESIAN NETWORKS; FEATURE EXTRACTION; MAPPING; PROBABILITY DENSITY FUNCTION; SENSORS; SIGNAL FILTERING AND PREDICTION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TARGET TRACKING; TRAJECTORIES; UNCERTAINTY ANALYSIS; VECTOR SPACES; VEHICLES;

SET THEORY;

EID: 77956762709     PISSN: 02783649     EISSN: 17413176     Source Type: Journal    
DOI: 10.1177/0278364909349948     Document Type: Article

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