Localization for indoor applications with a cheap sonar by particle filter estimation.
Salvador M. Malagon-SoldaraEstefania D. Avalos-RiveraEdgar A. Rivas-AraizaPublished in: EATIS (2016)
Keyphrases
- particle filter
- rao blackwellized particle filter
- state estimation
- importance sampling
- mobile robot
- simultaneous localization and mapping
- extended kalman filter
- estimation problems
- object tracking
- particle filtering
- visual tracking
- indoor environments
- kalman filter
- state space
- appearance model
- robust visual tracking
- data association
- likelihood function
- target tracking
- monte carlo
- multiple hypotheses
- motion model
- mean shift
- multiple object tracking
- sequential monte carlo
- robust tracking
- abrupt motion
- estimation accuracy
- observation model
- computer vision
- estimation algorithm
- multiple objects
- parameter estimation
- high resolution
- moving object tracking
- learning algorithm
- maximum likelihood
- dynamic environments
- proposal distribution
- face tracking
- multiple hypothesis