Continuous-Time Radar-Inertial and Lidar-Inertial Odometry using a Gaussian Process Motion Prior.
Keenan BurnettAngela P. SchoelligTimothy D. BarfootPublished in: CoRR (2024)
Keyphrases
- gaussian process
- inertial sensors
- gaussian processes
- dynamical model
- fully bayesian
- position and orientation
- bayesian framework
- motion tracking
- dynamical models
- latent variables
- gaussian process regression
- regression model
- hyperparameters
- semi supervised
- prior knowledge
- approximate inference
- model selection
- image sequences
- expectation propagation
- maximum a posteriori
- motion estimation
- sensor fusion
- optical flow
- covariance function
- bayesian methods
- active learning
- random sampling
- human motion
- generative model
- motion model
- machine learning
- prior information
- non stationary
- kalman filter
- state space
- maximum likelihood
- dynamical systems
- gaussian process models
- feature selection