SM/VIO: Robust Underwater State Estimation Switching Between Model-based and Visual Inertial Odometry.
Bharat JoshiHunter DamronSharmin RahmanIoannis M. RekleitisPublished in: CoRR (2023)
Keyphrases
- state estimation
- kalman filter
- inertial sensors
- kalman filtering
- state space model
- particle filter
- extended kalman filter
- sequential importance sampling
- dynamic systems
- visual tracking
- visual features
- particle filtering
- visual information
- computationally efficient
- mean shift
- robot navigation
- sensor fusion
- machine learning