Human Velocity Estimation Using Kalman Filter and Least Squares With Adjustable Window Sizes for Mobile Robots.
Mitsuhiro KamezakiMichiaki HirayamaRyosuke KonoYusuke TsuburayaShigeki SuganoPublished in: IEEE Access (2024)
Keyphrases
- kalman filter
- least squares
- mobile robot
- extended kalman filter
- window sizes
- kalman filtering
- state estimation
- importance sampling
- robust estimation
- motion parameters
- update equations
- parameter estimation
- optical flow
- object tracking
- path planning
- window size
- simultaneous localization and mapping
- target tracking
- rao blackwellized particle filter
- adaptive kalman filter
- sliding window
- particle filter
- particle filtering
- data association
- mean shift
- data sets
- autonomous robots
- dynamic environments
- estimation accuracy
- image sequences
- bayesian filtering
- indoor environments
- estimation process
- ego motion
- estimation error
- feature space
- object recognition
- computer vision