Data Association Aware POMDP Planning With Hypothesis Pruning Performance Guarantees.
Moran BarenboimIdan Lev-YehudiVadim IndelmanPublished in: IEEE Robotics Autom. Lett. (2023)
Keyphrases
- data association
- multi target tracking
- planning problems
- particle filter
- belief space
- partially observable markov decision processes
- partially observable markov decision process
- state space
- visual tracking
- partially observable
- multitarget tracking
- motion model
- object tracking
- reinforcement learning
- multiple targets
- multi sensor
- kalman filter
- search space
- target tracking
- multiple target tracking
- simultaneous localization and mapping
- multiple objects
- belief state
- body parts
- multiple hypothesis tracking
- decision theoretic
- mean shift
- markov decision processes
- multi target
- optimal policy
- video sequences
- three dimensional
- initial state
- infrared
- object recognition
- point based value iteration