Sensor Fusion Using Error-State Kalman Filter to Improve Localization of Autonomous Underwater Vehicle Under DVL Signal Loss.
Akira TechapattarapornVasutorn SiriyakornPeerayot SanposhYodyium TipsuwanTeerasit KasetkasemWeerawut CharubhunPublished in: TENCON (2023)
Keyphrases
- kalman filter
- sensor fusion
- autonomous underwater vehicle
- state estimation
- kalman filtering
- update equations
- target tracking
- mobile robot
- particle filter
- object tracking
- multi sensor
- rao blackwellized particle filter
- simultaneous localization and mapping
- machine learning
- particle filtering
- signal processing
- extended kalman filter
- mean shift
- state space
- pattern recognition
- object recognition
- inertial sensors
- video sequences
- three dimensional