Online Expectation Maximization algorithm to solve the SLAM problem

IEEE Workshop on Statistical Signal Processing Proceedings

Volumn , Issue , 2011, Pages 225-228

  Le Corff, S ^a   Fort, G ^a   Moulines, E ^a  

^a INSTITUT TELECOM   (France)

Author keywords

additive functionals; Expectation Maximization; Sequential Monte Carlo methods; SLAM

Indexed keywords

APPROXIMATION METHODS; DATA SETS; EXPECTATION MAXIMIZATION; EXPECTATION-MAXIMIZATION ALGORITHMS; EXPERIMENTAL DATA; FUNCTIONALS; LATENT MODELS; MAPPING PROBLEM; OBSERVATION MODEL; ONLINE VERSIONS; POINT ESTIMATE; ROBOT POSE; SEQUENTIAL MONTE CARLO METHODS; SIMULTANEOUS LOCALIZATION AND MAPPING PROBLEMS; SLAM; STOCHASTIC APPROXIMATIONS;

APPROXIMATION THEORY; MAXIMUM PRINCIPLE; MONTE CARLO METHODS; ROBOTICS; SIGNAL PROCESSING; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

APPROXIMATION ALGORITHMS;

EID: 80052201023     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSP.2011.5967666     Document Type: Conference Paper

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