Full STEAM ahead: Exactly sparse Gaussian process regression for batch continuous-time trajectory estimation on SE(3)

IEEE International Conference on Intelligent Robots and Systems

Volumn 2015-December, Issue , 2015, Pages 157-164

  Anderson, Sean ^a   Barfoot, Timothy D ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

Estimation; Gaussian processes; Robots; Sensors; Three dimensional displays; Trajectory; Uncertainty

Indexed keywords

CONTINUOUS TIME SYSTEMS; DIFFERENTIAL EQUATIONS; ESTIMATION; GAUSSIAN NOISE (ELECTRONIC); INTELLIGENT ROBOTS; INTERPOLATION; INVERSE PROBLEMS; LIE GROUPS; MATRIX ALGEBRA; ROBOTS; SENSORS; STEREO IMAGE PROCESSING; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TRAJECTORIES;

GAUSSIAN PROCESSES; SINGULARITY-FREE; SPARSE GAUSSIAN PROCESS; STOCHASTIC DIFFERENTIAL EQUATION MODELS; THREE-DIMENSIONAL (3D) SPACE; THREE-DIMENSIONAL DISPLAY; TRAJECTORY ESTIMATION; UNCERTAINTY;

GAUSSIAN DISTRIBUTION;

EID: 84958161680     PISSN: 21530858     EISSN: 21530866     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2015.7353368     Document Type: Conference Paper

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