Multi-sensor data fusion for autonomous vehicle navigation through adaptive particle filter.
Hossein Tehrani NiknejadSeiichi MitaHan LongPublished in: Intelligent Vehicles Symposium (2010)
Keyphrases
- particle filter
- multi sensor data fusion
- autonomous vehicle navigation
- object tracking
- data fusion
- visual tracking
- particle filtering
- state space
- kalman filter
- likelihood function
- appearance model
- state estimation
- data association
- motion model
- monte carlo
- robust visual tracking
- rao blackwellized particle filter
- target tracking
- mean shift
- multiple hypotheses
- multiple hypothesis
- robust tracking
- multiple object tracking
- face tracking
- importance sampling
- observation model
- abrupt motion
- sequential monte carlo
- proposal distribution
- articulated body
- markov chain monte carlo
- tracking accuracy
- tracking scheme
- bayesian networks
- markov chain
- multiple objects
- multiple target tracking
- computer vision
- multiple targets
- extended kalman filter
- simultaneous localization and mapping