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Maneuver Prediction and Avoidance Logic For Unmanned Aircraft System Encounters…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
Program Year/Program:
2013 / STTR
Agency Tracking Number:
N13A-003-0041
Solicitation Year:
2013
Solicitation Topic Code:
N13A-T003
Solicitation Number:
2013.A
Small Business Information
Numerica Corporation
4850 Hahns Peak Drive Suite 200 Loveland, CO 80538-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2013
Title: Maneuver Prediction and Avoidance Logic For Unmanned Aircraft System Encounters with Non-Cooperative Air Traffic
Agency / Branch: DOD / NAVY
Contract: N68335-13-C-0376
Award Amount: $79,968.00
 

Abstract:

For Unmanned Aircraft Systems (UAS) to operate seamlessly in both the U.S. National Airspace System (NAS) and abroad, it will be crucial that they possess a sense-and-avoid (SAA) capability that can ensure safe operations among maneuvering, non-cooperative aircraft. Numerica Corporation, in partnership with Johns Hopkins University, proposes to develop a set of algorithms to model the uncertainties associated with maneuvering aircraft, update these representations in real-time using encounter-specific information, and then use them to estimate conflict risk and plan avoidance maneuvers. An important feature of the proposed approach is the development of an avoidance-based measure of conflict risk that is based on the coupling between possible maneuvers of an uncertain intruder and resulting avoidance responses of theownship. This would extend the typical"blunder scenario"measure of risk for the purpose of: (i) reducing the occurrence of unnecessary maneuvers triggered by the SAA system, (ii) understanding the relationship between advanced sensor capabilities and improved safety, and (iii) informing hardware requirements for an SAA system operating in Visual Flight Rules (VFR) type environments.

Principal Investigator:

Philip Toit
Principal Investigator
(970) 461-2000
philip.dutoit@numerica.us

Business Contact:

Jeff Poore
President
(970) 461-2000
jeff.poore@numerica.us
Small Business Information at Submission:

Numerica Corporation
4850 Hahns Peak Drive Suite 200 Loveland, CO -

EIN/Tax ID: 841349484
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Johns Hopkins University
3400 N. Charles St.
Suite W-400, Wyman Park Center
Baltimore, MD 21218-
Contact: Marin K. PhD
Contact Phone: (410) 516-8668