Estimation and Prediction of Unmanned Aerial Vehicle Trajectories

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX10CC15P
Agency Tracking Number: 095581
Amount: $99,955.00
Phase: Phase I
Program: SBIR
Awards Year: 2010
Solicitation Year: 2009
Solicitation Topic Code: A3.01
Solicitation Number: N/A
Small Business Information
Numerica Corporation
4850 Hahns Peak Drive, Suite 200, Loveland, CO, 80538-6010
DUNS: 956324362
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Nick Coult
 Principal Investigator
 (970) 461-2000
Business Contact
 Benjamin Slocumb
Title: Business Official
Phone: (970) 612-2312
Research Institution
There is serious concern about the introduction of UAV's into the National Air Space because of their potential to increase the risk of loss of separation (LOS) between aircraft. Many UAV's lack a ``sense and avoid'' (SAA) capability, i.e., they do not possess an adequate means of making the UAV pilot aware of the airspace around the platform, nor do they provide the mechanism for avoiding LOS with other aircraft. This program will address the need for LOS avoidance for UAV's operating in NAS through the development of target state estimation and trajectory prediction algorithms. Numerica proposes a research program that will focus on two critical aspects of SAA algorithms: • Development of a target state estimator that uses data up to the current time to form a robust estimate of the state vector (position, velocity, acceleration, and possibly other parameters). • Development of a target trajectory prediction algorithm. This component will take the target state estimate and probabilistically generate various possible target trajectory paths. The outcome of the research will be a complete proof-of-concept solution with a software prototype, and simulation results showing performance metrics.

* information listed above is at the time of submission.

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