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Operator Interface for Flexible Control of Automated Sensor Functions

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-16-C-6677
Agency Tracking Number: F141-027-1797
Amount: $749,870.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF141-027
Solicitation Number: 2014.1
Solicitation Year: 2015
Award Year: 2016
Award Start Date (Proposal Award Date): 2015-10-23
Award End Date (Contract End Date): 2018-01-23
Small Business Information
400 South Main Street
Springboro, OH 45066
United States
DUNS: 601628717
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Scott Cone
 (937) 743-0361
Business Contact
 Michael McCloskey
Phone: (937) 743-0361
Research Institution

ABSTRACT:In current UAV systems, sensor management and the extraction of actionable information from sensor video is largely a manual process that requires near-continuous visual attention. Automating these functions will dramatically increase the overall level of UAV autonomy, thereby paving the way for fewer operators to manage more assets. This effort focuses on the operator interface to sensor automation technologies that will support human-automation collaboration and produce flexible, resilient performance in dynamic missions. Using a Cognitive Systems Engineering approach, an operator interface is being developed for automation technologies that are capable of detecting and reporting events, and performing robust target tracking using target re-identification capabilities. This interface includes features for managing attention and situation awareness, managing shifting task priorities, and transitioning among different tasks in a multi-UAV control context.A fully capable prototype of this user interface will be developed and packaged into a software plug-in that can be interfaced with any control station that possesses its own API.BENEFIT:Solutions developed under this effort will have direct application to sensor operators and intelligence analysts, enabling fewer operators to manage larger numbers of vehicles.These solutions could also support the rapidly growing commercial UAV market, making more advanced capabilities available to non-expert users, and offering new and innovative capabilities to commercial UAV developers.Finally, the results of this research can guide the development of new sensor automation technologies that will have high payoff to the military and commercial communities.

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

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