Small Unpiloted Aircraft System (SUAS) Auto-tracking of Moving and Stationary Targets

Award Information
Department of Defense
Air Force
Award Year:
Phase I
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Small Business Information
205 Wasco Loop, Suite 103, Hood River, OR, 97031
Hubzone Owned:
Minority Owned:
Woman Owned:
Principal Investigator:
Daniel Allen
(541) 386-9433
Business Contact:
Leo Wilson
(952) 250-6055
Research Institution:
Solution Engineering, Inc. (SEI) proposes to develop and demonstrate a prototype real time tracking system that supports robust multiple target tracking in an urban environment. The approach will focus on increasing the robustness of the core feature tracking algorithms, utilizing target invariant characteristics to extend the ability to track, coast, and reacquire targets. In addition higher level tracking logic based on a multiple hypothesis approach will be explored to enhance the high level tracking control logic that supports track confirmation, maintenance, coasting, and dropping. SEI will leverage its experience in tracking and data fusion, its products including: 1) an embedded DSP based video tracking and electronic stabilization application as well as, 2) a ground based tracker; both that currently support the TASE family of gimbals, and its video simulation tool, VideoSim. In addition, SEI will leverage its close relationship, both geographically and businesswise, with Cloud Cap Technology, and the expertise SEI has as developer of Cloud Cap Technologys Piccolo Command Center and GimbalUI to provide tools and test opportunities to support development and demonstration as well as test and refinement of the sensor centric navigation algorithms Cloud Cap Technology has on its development roadmap for the Piccolo Autopilot. BENEFIT: The benefits of this research are the development of more robust and accurate target tracking in an urban environment that supports an SUAS ability to maintain and reacquire tracks through sensor centric navigation and more robust tracking. Another outcome is the refinement of a simulation test environment that supports development and test of advanced algorithms as well as potential for high quality training opportunities in a fielded system. The benefits to commercial applications are improved robustness of tracking in urban or other difficult environments, as well as the simulation opportunities available to evaluate potential applications of the technology prior to purchase of a particular solution. Training in the commercial environment is an equally compelling benefit.

* information listed above is at the time of submission.

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