Searching for an object-of-interest from an aircraft is a generic problem. Examples include (1) search and rescue aircraft attempting to locate a downed pilot; (2) drug enforcement aircraft searching for small boats being used for smuggling; and (3) military reconnaissance aircraft searching for enemy tanks or air defense units. On the Rotorcraft Pilot's Associate (RPA) program, we have developed an automated decision aiding application addressing this generic problem of multiple aircraft, acting as a team, using onboard sensors to search for and locate vehicles on the ground. In the RPA context, the aircraft fly at low altitudes and scan with the radar only as much as needed to conduct an effective search. Due to terrain blockage, a given scan will miss areas on the ground that may harbor a vehicle. The problem is (1) to know what areas the sensor 'saw' during a particular 'look', (2) to keep track of areas that have already been searched, and (3) to determine how to optimally employ the sensor to continue and complete the search; i.e. when to use it, what direction to point it, what mode (e.g. field-of-view) it should operate in, and from what location and altitude it should be activated. By assisting the crew in performing these functions automatically, the area can be searched more quickly and carefully and with less risk to the crew. This paper describes the software solution developed on the RPA program, and provides a perspective on how it can be used operationally.


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    Title :

    Dynamic optimal sensor employment


    Contributors:


    Publication date :

    1999


    Size :

    13 Seiten, 5 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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