A team of micro air vehicles (MAV) are inspecting a sequence of objects to accumulate evidence to convict/acquit an object as a target. Images are sent to a remote operator who serves the role as feature detector. This apart models the MAV-operator team as a stochastic dynamic program (DP). Solution of the DP yields the optimal policy of actions to perform on the objects regardless of the operator evaluation or when it is received.
Decision Making Under Uncertainty Applied to the Counter Scenario
2006
36 pages
Report
No indication
English
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