SBIR/STTR Research Award
SEMA: Segmentation and Estimation of Missile Attitude
Award amount
$150,000Program and phase
STTR · Phase IAward year
2021Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- Intelligent Automation, Inc.
- Proposal award date
- 2021-05-01
- Contract end date
- 2022-02-01
- UEI
- C3QJD7VXG167
- Solicitation number
- 19.B
- Topic code
- AF19B-T005
Research abstract
Ground-based cameras acquire image and video data of targets in various stages of flight. Cluttered backgrounds, poor contrast, low resolution and other imaging challenges make it difficult to discern the target and estimate its attitude (pose). In this effort we propose a deep learning based approach to detect and segment targets of interest. The results of segmentation will be visualized as a pixel-wise mask. EO/IR imagery and simulated data will be used to demonstrate feasibility of the approach.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Robust Multi-View Target Attitude Determination Using Models, Multi-Cue Fusion and Machine Learning
- Novel Image Segmentation Methods for Missile Attitude
- Passive Image Processing Algorithms for Automated Target Attitude Estimation
Research funding history
1,182 SBIR/STTR records share this UEI (1987–2021). Reported award amounts total $369,972,257. 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, Department of Transportation, Department of Health and Human Services, National Science Foundation, Department of Homeland Security