SBIR/STTR Research Award
Spatio-Temporal Association and Curve Kernels (STACKNet ) for Multi-Cue Data Association
Award amount
$125,000Program and phase
STTR · Phase IAward year
2020Award details
- Awarding agency
- Department of Defense
- Branch
- Missile Defense Agency
- Recipient company
- Intelligent Automation, Inc.
- Proposal award date
- 2020-04-06
- Contract end date
- 2021-10-05
- UEI
- C3QJD7VXG167
- Solicitation number
- 19.C
- Topic code
- MDA19-T001
Research abstract
Air and missile threats can fly highly maneuvering, complex trajectories. This poses a challenge to tracking algorithms during data association because of confusing targets, proximal detections and fast motion. In the proposed effort we propose to develop deep learning based technologies for data association to improve the accuracy of data association. Deep learning has shown significant gains in object detection in various domains. More recently, it has shown significant promise in multi-target tracking. Comparative evaluation with existing approaches for data association will be conducted to show benefits of the proposed approach. Approved for Public Release | 20-MDA-10398 (2 Mar 20)
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.
- ISLE Platform: Immersive Simulation of Lifelike Experience
- Magnesium Alloys for Additive Manufacturing by Artificial Intelligence (MAGAMAI)
- MINT– A software-defined integration architecture for 5G-supported military network
- ACT: An Artificial Intelligence based Course of Action Tool
- MAEDICS: Medic Automated Encounter Documentation, Interpretations, and Communication System
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Trusted Intelligent Data Association
- Spatio-Temporal Association and Curve Kernel Networks (STACKNet) for Multi-cue Data Association
- Advanced Data Association Algorithms to Address Emerging Threats
- Advanced Data Association Algorithms to Address Emerging Threats
- Advanced Data Association Algorithms to Address Emerging Threats
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