A Note on the Reward Function for PHD Filters with Sensor Control
The context is sensor control for multi-object Bayes filtering in the framework of partially observed Markov decision processes (POMDPs). The current information state is represented by the multi-object probability density function (pdf), while the reward function associated with each sensor control...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Aerospace & Electronic Systems Society
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/30999 |