Non-line-of-sight mitigation for reliable urban GNSS vehicle localization using a particle filter.
Sven BauerRobin StreiterGerd WanielikPublished in: FUSION (2015)
Keyphrases
- particle filter
- rao blackwellized particle filter
- simultaneous localization and mapping
- object tracking
- visual tracking
- particle filtering
- likelihood function
- monte carlo
- state estimation
- state space
- kalman filter
- robust tracking
- motion model
- appearance model
- target tracking
- face tracking
- data association
- observation model
- multiple objects
- multiple object tracking
- real time
- importance sampling
- mobile robot
- tracking accuracy
- mean shift
- sequential monte carlo
- multiple hypotheses
- robust visual tracking
- multiple hypothesis
- markov chain monte carlo
- kalman filtering
- extended kalman filter
- urban areas
- partial occlusion
- proposal distribution
- dynamic environments
- markov chain
- articulated body
- multiple target tracking
- moving object tracking
- image sequences
- machine learning