SBIR/STTR Research Award
AI for Small Unit Maneuver: VTOL Landing Algorithm
Award amount
$49,800Program and phase
STTR · Phase IAward year
2022Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- DANIEL CAMPBELL
- Proposal award date
- 2021-11-16
- Contract end date
- 2022-02-15
- UEI
- ZLL6FRM4R1C1
- Solicitation number
- X21.B
- Topic code
- AF21B-TCSO1
Research abstract
Computer vision algorithm for depth and space estimation to geolocate sUAS or helicopter landing locations in tactical environments. Detects suitable landing locations in unknown or non-traditional landing zones. Enabling technology: unique Python pro
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.
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- InSITE (Integrated Surface Information Technology Environment)
- Inergy TACFI
- Automated Real-Time Cybersecurity for Edge Computing & IoT Devices
- High-Temperature High-Performance 3D-Printed Ceramics
- Optimizing Verified Content for High Level Defense Customer in Cloud Native Application Deployments
Research funding history
2 SBIR/STTR records share this UEI (2021–2022). Reported award amounts total $90,700. Reported amounts are not federal obligations.
Phases: Phase I
Agencies: Department of Defense