A Joint Multiple Hypothesis Tracking and Particle Filter Approach for Aerial Data Fusion.
Francesco d'ApolitoChristian EliaschChristoph SulzbachnerChristoph F. MecklenbräukerPublished in: FUSION (2022)
Keyphrases
- data fusion
- particle filter
- multiple hypothesis tracking
- data association
- multi sensor
- visual tracking
- object tracking
- target tracking
- particle filtering
- kalman filter
- motion model
- information fusion
- state estimation
- multi sensor data fusion
- appearance model
- robust tracking
- mean shift
- state space
- fusion method
- simultaneous localization and mapping
- sequential monte carlo
- abrupt motion
- observation model
- rao blackwellized particle filter
- multiple objects
- dynamic systems
- proposal distribution
- image fusion
- sensor fusion
- multiple hypotheses
- d objects
- real time