SM/VIO: Robust Underwater State Estimation Switching Between Model-based and Visual Inertial Odometry.
Bharat JoshiHunter DamronSharmin RahmanIoannis M. RekleitisPublished in: ICRA (2023)
Keyphrases
- state estimation
- kalman filter
- inertial sensors
- particle filter
- kalman filtering
- state space model
- sequential importance sampling
- visual tracking
- dynamic systems
- appearance model
- estimation problems
- visual information
- computationally efficient
- computer vision
- position and orientation
- object tracking
- complex systems
- state space
- probability distribution