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Risk-Based Unmanned Air System (UAS) Mission Path Planning Capability

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0141
Agency Tracking Number: N17B-034-0037
Amount: $999,912.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N17B-T034
Solicitation Number: 17.B
Solicitation Year: 2017
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-03-27
Award End Date (Contract End Date): 2022-05-18
Small Business Information
1410 Sachem Place Suite 202
Charlottesville, VA 22901
United States
DUNS: 120839477
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Nathan D Richards
 Senior Research Scientist
 (434) 973-1215
Business Contact
 B. Eugene Parker, Jr.
Phone: (434) 973-1215
Research Institution
 The University of Tulsa
 Debbie Newton Debbie Newton
Office of Research and Sponsored Programs 800 S. Tucker Drive
Tulsa, OK 74104
United States

 (918) 631-2192
 Nonprofit College or University

Current aircraft operations within the National Airspace System (NAS) rely heavily on the presence of an on-board pilot to safely manage the flight. Integration of Unmanned Aircraft Systems (UAS) into the NAS requires a high confidence that these operations can meet or exceed the safety afforded through manned operations. Specifically, these UAS operations must not pose an undue risk to persons, structures, and vehicles on the ground. The Autonomous Planning and Replanning (AutoPRep) system is designed to autonomously construct a minimum risk flight plan and includes an on-board replanning capability to accommodate contingencies without requiring an active control link. AutoPRep leverages population, land use, and airspace data as well as failure modes, emergency procedures, and the associated vehicle responses to plan routes with minimal risk to on-ground persons, structures, and vehicles. The Phase I effort produced a 3D risk assessment and minimum-risk path generation tool that provides a visual comparison of candidate paths, risk exposure along the paths, and scalar risk values for each path. Phase II will further develop this technology to generate a flexible and robust planning tool. Phase II capabilities include: rapid map updates, support for diverse objectives, and optimization for real-time planning.

* Information listed above is at the time of submission. *

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