2404858
Cooperative Agreement
Overview
Grant Description
Sbir Phase II: 4d Flightpath-Based Autonomous Separation Assurance Systems (ASAS) -the broader/commercial impact of this Small Business Innovation Research (SBIR) Phase II project is enabling efficient, safe, and cost effective deconfliction of dense uncrewed aerial vehicle (UAV) operations. Widespread usage of UAVs is expected to bring significant societal benefits.
The UAVs that are anticipated to be utilized for package delivery are estimated to have lower carbon impact than their ground transport counterparts. Delivery drones are currently used for life saving delivery of organs and medications. UAVs currently used for inspection provide safer and more economical alternatives to traditional inspection techniques.
To safely get to the flight densities that capture the true societal and economic potential of UAVs, robust autonomous air traffic management solutions are needed. The technology that will be commercialized in this project will fill this need for the emerging UAV market by providing reliable and fast aerial conflict detection and suggestion of conflict avoidance maneuvers.
This Small Business Innovation Research (SBIR) Phase II project will focus on improving the autonomous air traffic management (ATM) technology developed in the SBIR Phase I project and extending the system to include a wider range of uncrewed aerial vehicle (UAV) operations. Improvements to the ATM technology will include improved fault tolerance, improved consideration of UAV capabilities when suggesting aerial conflict avoidance maneuvers, adding flight planning tools, and using optimization techniques to avoid compounding aerial conflicts.
Common open-source UAV mission descriptions, developing international standards for the sharing of UAV flight intent, and data sources providing updates of UAV positions will be infused into the ATM technology to detect and avoid aerial conflicts with a more diverse set of UAVs. The result of this SBIR Phase II project will be a safe, reliable, and feature rich software product for providing autonomous ATM services to UAV operators.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Subawards are planned for this award.
The UAVs that are anticipated to be utilized for package delivery are estimated to have lower carbon impact than their ground transport counterparts. Delivery drones are currently used for life saving delivery of organs and medications. UAVs currently used for inspection provide safer and more economical alternatives to traditional inspection techniques.
To safely get to the flight densities that capture the true societal and economic potential of UAVs, robust autonomous air traffic management solutions are needed. The technology that will be commercialized in this project will fill this need for the emerging UAV market by providing reliable and fast aerial conflict detection and suggestion of conflict avoidance maneuvers.
This Small Business Innovation Research (SBIR) Phase II project will focus on improving the autonomous air traffic management (ATM) technology developed in the SBIR Phase I project and extending the system to include a wider range of uncrewed aerial vehicle (UAV) operations. Improvements to the ATM technology will include improved fault tolerance, improved consideration of UAV capabilities when suggesting aerial conflict avoidance maneuvers, adding flight planning tools, and using optimization techniques to avoid compounding aerial conflicts.
Common open-source UAV mission descriptions, developing international standards for the sharing of UAV flight intent, and data sources providing updates of UAV positions will be infused into the ATM technology to detect and avoid aerial conflicts with a more diverse set of UAVs. The result of this SBIR Phase II project will be a safe, reliable, and feature rich software product for providing autonomous ATM services to UAV operators.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Subawards are planned for this award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH PHASE II (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE II", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF23516
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Manhattan,
Kansas
66502-6233
United States
Geographic Scope
Single Zip Code
4-D Avionic Systems was awarded
Cooperative Agreement 2404858
worth $999,919
from National Science Foundation in July 2024 with work to be completed primarily in Manhattan Kansas United States.
The grant
has a duration of 2 years and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
The Cooperative Agreement was awarded through grant opportunity NSF Small Business Innovation Research / Small Business Technology Transfer Phase II Programs (SBIR/STTR Phase II).
SBIR Details
Research Type
SBIR Phase II
Title
SBIR Phase II: 4D Flightpath-Based Autonomous Separation Assurance Systems (ASAS)
Abstract
The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase II project is enabling efficient, safe, and cost effective deconfliction of dense Uncrewed Aerial Vehicle (UAV) operations. Widespread usage of UAVs is expected to bring significant societal benefits. The UAVs that are anticipated to be utilized for package delivery are estimated to have lower carbon impact than their ground transport counterparts. Delivery drones are currently used for life saving delivery of organs and medications. UAVs currently used for inspection provide safer and more economical alternatives to traditional inspection techniques. To safely get to the flight densities that capture the true societal and economic potential of UAVs, robust autonomous air traffic management solutions are needed. The technology that will be commercialized in this project will fill this need for the emerging UAV market by providing reliable and fast aerial conflict detection and suggestion of conflict avoidance maneuvers.
This Small Business Innovation Research (SBIR) Phase II project will focus on improving the autonomous Air Traffic Management (ATM) technology developed in the SBIR Phase I project and extending the system to include a wider range of Uncrewed Aerial Vehicle (UAV) operations. Improvements to the ATM technology will include improved fault tolerance, improved consideration of UAV capabilities when suggesting aerial conflict avoidance maneuvers, adding flight planning tools, and using optimization techniques to avoid compounding aerial conflicts. Common open-source UAV mission descriptions, developing international standards for the sharing of UAV flight intent, and data sources providing updates of UAV positions will be infused into the ATM technology to detect and avoid aerial conflicts with a more diverse set of UAVs. The result of this SBIR Phase II project will be a safe, reliable, and feature rich software product for providing autonomous ATM services to UAV operators.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Topic Code
R
Solicitation Number
NSF 23-516
Status
(Ongoing)
Last Modified 7/8/24
Period of Performance
7/1/24
Start Date
6/30/26
End Date
Funding Split
$999.9K
Federal Obligation
$0.0
Non-Federal Obligation
$999.9K
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
2404858
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
DXJ1EQ2HBEB5
Awardee CAGE
8AJ44
Performance District
KS-01
Senators
Jerry Moran
Roger Marshall
Roger Marshall
Modified: 7/8/24