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The fact that the UFO Wars DVD is already for sale speaks volumes. I would certainly like to know more about Mr Grimsley's methods where his observations & data gathering are concerned in light of his "Space Wars" hypothesis! Ask the hard questions...
Abstract:
Some imaging tasks and modalities (e.g., interferomet-ric SAR) require managing a dynamic spatio-temporal configuration of sensors (whether electro-optic or RF) over a wide area. One promising approach is to mount each sensor on a separate unpiloted vehicle, and endow the population of such vehicles with the ability to con-figure themselves and coordinate their actions to create and maintain the required sensor configuration. This paper describes some scenarios where such a capability would be useful, identifies technical issues that need to be addressed, suggests general principles and techniques that we have found useful in dealing with such scenarios, and describes a specific example that we have constructed and tested in a simulation environment.
*Just something to think about the next time you see a Swarm of UFOs through the night vision goggles. . .Issues:
Coordinating multiple UAV’s for such sensing scenar-ios requires spatial and temporal coordination and the alignment of distinct roles within the team. Spatial co-ordination distributes units over the area being ob-served, and includes such tasks as determining the maximum spread between vehicles and the minimum acceptable number of revisits per unit area, assigning sectors to each unit, causing a team to converge in a specific location, or stationing UAV’s in a particular formation. Temporal coordination ensures that all UAV’s act at the right time or with the right frequency, provide their input at the right moment, and assume their designated locations and operating roles at the right time for the constellation to work as a whole. Team co-ordination seeks to optimize the assignment of individual vehicles to roles in terms of their preferences or constraints (e.g., the configuration of individual vehicles), managing the formation, coordination, maintenance, and dispersion of groups of vehicles.
Conventional (non-autonomous) approaches require humans to fly each UAV. This approach is costly both in terms of manpower and (since all communications must go through the control center) bandwidth, and in addition can be a difficult cognitive task. Autonomous coordination among the aircraft permits the use of local nearest-neighbor communications (reducing band-width), and our experiments show that simple local algorithms can yield robust self-organization sufficient to satisfy these missions.