Abstract
The use of unmanned aerial systems (UASs) in both the public and military environments is predicted to grow significantly. As the demand for UASs grows, the availability of more robust and capable vehicles that can perform multiple mission types will be needed. In the public sector, the demand will grow for UASs to be used for agriculture, forestry, and search and rescue missions. Militaries continue to demand more UAS capabilities for diverse operations around the world. Significant research has been performed and continues to progress in the areas of autonomous UAS control. A majority of the work focuses on subsets of UAS control: path planning, autonomy, small UAS controls, and sensors. Minimal work exists on a system-level problem of multiple-scenario UAS control for integrated systems. This paper provides a high-level modular system architecture definition that is modifiable across platform types and mission requirements. A review of the current research and employment of UAS capabilities is provided to evaluate the state of the capabilities required to enable the proposed architecture.
Highlights
In July 2014, the Teal group predicted that worldwide Unmanned Aerial Systems (UASs) expenditures will grow to over $11 Billion per year with a total investment of over $91 Billion by2024
This paper provides a high-level modular system architecture definition that is modifiable across platform types and mission requirements
The system must enable the autonomous system algorithms to run in a framework that enables maximum flexibility while understanding vehicle capabilities
Summary
In July 2014, the Teal group predicted that worldwide Unmanned Aerial Systems (UASs) expenditures will grow to over $11 Billion per year with a total investment of over $91 Billion by. The growth in the civil market is expected to significantly expand as the rules on civil use of UASs in the US and around the world become better defined As these markets expand, the need to have systems that can adapt to new missions, sensors, and environments will drive requirements. Announcement (BAA) for the Collaborative Operations in a Denied Environment (CODE) Program in 2014 [3] This BAA defines numerous requirements and expectations for future system capability of unmanned and autonomous vehicles working as single systems and multiple vehicle teams. Many of the requirements defined in the CODE BAA can be utilized to define system architecture and capabilities for both military and civilian systems These requirements will provide a significant portion of the requirements for the system defined .
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