Nested Sampling for Non-Gaussian Inference in SLAM Factor Graphs.
Qiangqiang HuangAlan PapaliaJohn J. LeonardPublished in: IEEE Robotics Autom. Lett. (2022)
Keyphrases
- factor graphs
- inference problems
- message passing
- graphical models
- belief propagation
- approximate inference
- exact inference
- probabilistic inference
- latent variables
- parameter learning
- bayesian networks
- probabilistic graphical models
- non stationary
- belief networks
- simultaneous localization and mapping
- random sampling
- sample size
- markov networks
- dynamic bayesian networks
- markov random field
- graph cuts
- support vector
- probabilistic model
- model construction
- gaussian process
- gaussian distribution
- parameter estimation
- stereo matching