SMA-NBO: A Sequential Multi-Agent Planning with Nominal Belief-State Optimization in Target Tracking.
Tianqi LiLucas W. KrakowSwaminathan GopalswamyPublished in: IROS (2022)
Keyphrases
- target tracking
- belief state
- partial observability
- multi agent planning
- state space
- kalman filter
- partially observable
- belief space
- data fusion
- belief revision
- particle filter
- mean shift
- reinforcement learning
- multi sensor
- planning problems
- moving target
- data association
- video camera
- visual tracking
- multi agent
- agent programming
- multi view
- search space
- partially observable markov decision processes
- computational complexity
- knowledge base