Omnidirectional Localization in vSLAM with Uncertainty Propagation and Bayesian Regression.
David ValienteÓscar ReinosoArturo GilLuis PayáMónica BallestaPublished in: ACIVS (2017)
Keyphrases
- sparse bayesian learning
- decision theory
- gaussian processes
- dempster shafer
- regression model
- maximum likelihood
- relevance vector machine
- bayesian networks
- dirichlet process mixture
- regression forests
- bayesian learning
- single camera
- vision system
- support vector regression
- mobile robot
- bayesian analysis
- localization algorithm
- regression algorithm
- uncertain data
- expected utility
- model selection
- stereo vision
- bayesian methods
- regression analysis
- posterior distribution
- vision sensor
- model averaging
- object localization
- robust optimization
- regression method
- locally weighted
- support vector
- computer vision
- neural network