Deep Fusion of a Skewed Redundant Magnetic and Inertial Sensor for Heading State Estimation in a Saturated Indoor Environment.
Mojtaba KarimiEdwin BabaiansMartin OelschEckehard G. SteinbachPublished in: Int. J. Semantic Comput. (2021)
Keyphrases
- state estimation
- indoor environments
- inertial sensors
- sensor fusion
- mobile robot
- extended kalman filter
- multi sensor
- kalman filter
- path planning
- particle filter
- dynamic systems
- particle filtering
- kalman filtering
- visual tracking
- data fusion
- robotic systems
- dynamic environments
- position and orientation
- topological map
- autonomous robots
- mobile robotics
- motion tracking
- autonomous navigation
- simultaneous localization and mapping
- motion estimation
- image fusion
- real time
- multiresolution
- multi frame
- motion sequences