Authors:
Ryan D. Friese, Pacific NW National Laboratory and U.S. Department of Energy
Dr. James A. Crowder, Systems Fellow, Colorado Engineering Inc.
Howard Jay Siegel, Electrical and Computer Engineering and Computer Science Departments, Colorado State University
John N. Carbone, Electrical and Computer Engineering Department, Southern Methodist University
Abstract:
Historically, research shows that multi-vehicle, multiconstraint, surveillance problems require a combinatorial optimization solution. In many of these surveillance missions, the overall objective is to provide plans for surveillance tasks for unmanned aerial vehicles (UAVs) visiting or “surveilling” targets across geographically distributed areas.
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