SBIR/STTR Research Award
Low-Altitude Airspace Classification Technologies using Machine Learning
Award amount
$749,570Program and phase
STTR · Phase IIAward year
2021Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- CALHOUN ANALYTICS, LLC
- Proposal award date
- 2021-08-03
- Contract end date
- 2022-11-06
- UEI
- W1FNNRWR1X47
- Solicitation number
- X20.D
- Topic code
- AFX20D-TCSO1
Research abstract
CAL Analytics, Ohio State University, and Lighthouse Avionics are proposing the development of real-time, machine learning-based classification technologies for UAS Traffic Management (UTM) and Advanced Air Mobility (AAM) ecosystems. Our Phase I project d
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Airspace Surveillance and Conflict Avoidance Services for Advance Air Mobility (AAM)
- Formally Verified Run-Time Assurance (RTA) in the Presence of Information Uncertainty
- Machine Aided Contingency Management for Autonomous Operations
- Low-Altitude Classification Technologies using Machine Learning
- Enhancing UTM Ecosystem Resiliency and Robustness
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Extremely Lightweight and Ultra-Low Noise Isolated DC-DC Converters
- Continuous Fiber Additive Manufacturing for Rapid Prototyping and Demonstration of Small UAS Designs
- Deployable Containerized LH2 Refueling System
- Extremely Lightweight and Ultra-Low Noise Isolated DC-DC Converters
- Advanced Li-Metal, High-Power Battery
Research funding history
8 SBIR/STTR records share this UEI (2019–2024). Reported award amounts total $3,436,344. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Defense, National Aeronautics and Space Administration