A POMDP Framework for Coordinated Guidance of Autonomous UAVs for Multitarget Tracking
This paper discusses the application of the theory of partially observable Markov decision processes (POMDPs) to the design of guidance algorithms for controlling the motion of unmanned aerial vehicles (UAVs) with onboard sensors to improve tracking of multiple ground targets. While POMDP problems a...
| Format: | Article |
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| Language: | English |
| Published: |
SpringerOpen
2009-03-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Online Access: | http://dx.doi.org/10.1155/2009/724597 |