Sequential Parameter Estimation for Fault Diagnosis in Mobile Robots Using Particle Filters.
Christian PlagemannWolfram BurgardPublished in: AMS (2005)
Keyphrases
- fault diagnosis
- parameter estimation
- particle filter
- mobile robot
- estimation problems
- markov chain monte carlo
- maximum likelihood
- path planning
- particle filtering
- neural network
- visual tracking
- expert systems
- model selection
- least squares
- markov random field
- object tracking
- fault detection
- simultaneous localization and mapping
- fuzzy logic
- state space
- em algorithm
- likelihood function
- appearance model
- parameter estimation algorithm
- approximate inference
- dynamic environments
- kalman filter
- mobile robotics
- monte carlo
- dynamic systems
- random fields
- multi robot
- posterior distribution
- indoor environments
- mean shift
- data association
- state estimation
- multiple objects
- expectation maximization
- proposal distribution
- motion model
- data mining
- experimental data
- markov chain
- image processing
- machine learning