The missions of the U.S. Army Aquila Remotely Piloted Vehicle (RPV) system include reconnaissance and target acquisition. To aid the operator in the accomplishment of these missions, Lockheed has developed automated target search software which ensures a thorough, systematic search of a designated area and reduces the operator workload while the search is being conducted. Various factors, internal and external to the unmanned air vehicle (UAV) system, are discussed which affect the probability of detecting a target of military interest. Search parameters were implemented within the software to optimize the capabilities of the Aquila System to detect targets under varying environmental conditions. The automated search algorithm (autosearch) was successfully demonstrated in flights conducted by the Army in a Force Development Test and Experimentation (FDT and E).
Automated Search Techniques Applied to Optical Payloads in Unmanned Air Vehicles
1989
7 pages
Report
Keine Angabe
Englisch
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