NASA SBIR 2015 Solicitation

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Daniel H. Wagner Associates, Inc.
559 West Uwchlan Avenue, Suite 140
Exton, PA 19341 - 3013
(610) 280-3830

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
James T Eanes
james.eanes@va.wagner.com
2 Eaton Street, Suite 500
Hampton, VA 23669 - 4054
(757) 727-7700

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Lori Renee' Leiby
lori.leiby@pa.wagner.com
559 West Uwchlan Avenue, Suite 140
Exton, PA 19341 - 3013
(610) 280-3830

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 4
End: 6

Technology Available (TAV) Subtopics
Autonomy of the National Airspace System (NAS) is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?
No

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
In Phase I of this NASA SBIR project, Daniel H. Wagner Associates, Inc., designed and demonstrated the feasibility of a system for integrating environmental data into flight planning and execution for Unmanned Air Systems (UAS) in the National Airspace System (NAS). The Weather Aware Route Planning (WARP) system will provide weather-based Indicators and Warnings (I&W) and navigational recommendations for UAS in order to improve their autonomy, safety, and energy efficiency. Using all available environmental and navigational data, WARP will assess environmental impacts to planned/executing flight plans and generate alerts and recommendations for those plans based on expected environmental impacts. Operating in conjunction with existing and emerging mission planners and ground control systems (GCS), WARP will use a combination of rules-based/heuristic and simulation-based approaches to assess environmental impacts to UAS flight plans and provide I&W and recommendations for each UAS to avoid negative environmental impacts and take advantage of positive environmental impacts. WARP will also provide real-time environmental impact assessments during mission execution, assisting ground-based pilots, and eventually UAS autonomous controllers, in performing dynamic re-planning for safer and more efficient flight.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
NASA is a key partner in the development and maturation of NextGen technologies. Specifically, the Integrated Systems Research Program (ISRP) matures and integrates NextGen technologies into major vehicle/operational systems (http://www.aeronautics.nasa.gov/programs_isrp.htm), and the UAS Integration in the NAS Project (http://www.aeronautics.nasa.gov/isrp/uas/index.htm) within ISRP is focusing on demonstrating effective UAS operations in relevant test environments. In Phase I, we were introduced to this NASA program, specifically with relation to the integration of environmental data into air traffic control; in Phase II we will continue to pursue that avenue of potential Phase II-X partnerships to help develop UAS and Command and Control (C2) performance standards regarding environmental conditions and to integrate WARP (upon successful prototype development in Phase II) into a realistic test environment, such as the live virtual constructive (LVC) distributed environment (DE).

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Our commercialization strategy for potential transition outside of NASA programs is focused on customers that are likely to provide transition funding in the form of Phase II-E partnerships (for NASA matching funds) and independent Phase III contracts. These customers include government agencies (e.g., FAA, DHS, DoD, DoT, etc.) and prime contractors working on UAS and their associated C2 systems, both within the NAS and operating anywhere in the world. Specifically, we are very familiar with Northrop Grumman, Boeing/Insitu, and Textron/AAI, since we are working with them on DARPA and Navy projects for distributed data fusion among unmanned systems.