Bayesian state estimation and behavior selection for autonomous robotic exploration in dynamic environments.
Georgios LidorisDirk WollherrMartin BussPublished in: IROS (2008)
Keyphrases
- dynamic environments
- state estimation
- autonomous robotic
- mobile robot
- state space model
- kalman filtering
- kalman filter
- visual tracking
- particle filter
- semi autonomous
- dynamic systems
- autonomous agents
- path planning
- collision avoidance
- changing environment
- bayesian networks
- maximum likelihood
- particle filtering
- probability distribution
- fully autonomous
- posterior probability
- real environment
- autonomous robots
- moving objects
- machine learning
- image sequences
- augmented reality
- three dimensional