2014
DOI: 10.4236/iim.2014.64019
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Central Command Architecture for High-Order Autonomous Unmanned Aerial Systems

Abstract: This paper is the first in a two-part series that introduces an easy-to-implement central command architecture for high-order autonomous unmanned aerial systems. This paper discusses the development and the second paper presents the flight test results. As shown in this paper, the central command architecture consists of a central command block, an autonomous planning block, and an autonomous flight controls block. The central command block includes a staging process that converts an objective into tasks indep… Show more

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Cited by 4 publications
(1 citation statement)
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“…In that study, they used the A* algorithm to build an energy map of a region which, in turn, they used to determine a path through a set of waypoints. Silverberg and Bieber [21] imbedded the A* algorithm in a new central command architecture for large systems of UAVs and recently flight-tested this with four aircraft. Other path planning algorithms used in conjunction with auto-soaring are tree planners such as Rapidly-Exploring Random Tree (RRT) and Look ahead Tree Search (LTS).…”
Section: Acknowledgmentsmentioning
confidence: 99%
“…In that study, they used the A* algorithm to build an energy map of a region which, in turn, they used to determine a path through a set of waypoints. Silverberg and Bieber [21] imbedded the A* algorithm in a new central command architecture for large systems of UAVs and recently flight-tested this with four aircraft. Other path planning algorithms used in conjunction with auto-soaring are tree planners such as Rapidly-Exploring Random Tree (RRT) and Look ahead Tree Search (LTS).…”
Section: Acknowledgmentsmentioning
confidence: 99%