GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models

2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

Volumn , Issue , 2008, Pages 3471-3476

  Ko, Jonathan ^a   Fox, Dieter ^a  

^a University of Washington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYES FILTER; BAYESIAN FILTERING; COMPLEXITY ANALYSIS; GAUSSIAN PROCESS MODELS; GAUSSIAN PROCESSES; KEY COMPONENT; NON-PARAMETRIC TECHNIQUES; OBSERVATION MODEL; PARAMETRIC MODELS; PARTICLE FILTER; PROBABILISTIC PREDICTION; TRAINING DATA; UNSCENTED KALMAN FILTER;

AIR FILTERS; BALLOONS; BAYESIAN NETWORKS; CELLULAR RADIO SYSTEMS; DYNAMICAL SYSTEMS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); INTELLIGENT ROBOTS; KALMAN FILTERS; NONLINEAR FILTERING;

CONTROL THEORY;

EID: 69549111759     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2008.4651188     Document Type: Conference Paper

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