An Artificial Intelligence (AI) – Based 3 Dimension (3D) Building Model Generation Capability for Chemical Biological Radiological and Nuclear (CBRN) Situational Awareness (SA) and Hazard Modeling
Award amount
$182,999Program and phase
SBIR · Phase IAward year
2023Award details
- Awarding agency
- Department of Defense
- Branch
- Office for Chemical and Biological Defense
- Recipient company
- AERIS LLC
- Proposal award date
- 2023-05-22
- Contract end date
- 2023-12-03
- UEI
- TNMKZL4WJL79
- Solicitation number
- 22.2
- Topic code
- CBD222-005
Research abstract
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.
- ML-Based Downscaling for High-Resolution Atmospheric Forecasting
- An Artificial Intelligence (AI) ¢ Based 3 Dimension (3D) Building Model Generation Capability for Chemical Biological Radiological and Nuclear (CBRN) Situational Awareness (SA) and Hazard Modeling
- A Tactical Assault Kit (TAK) Compatible Lightweight, Portable, In-field RNA/DNA Sequencing System
- A Configurable Multi-Scale Environmental Modeling System for Live/Virtual/Constructive USAF Mission Support
- Unmanned Aircraft Systems Traffic Management (UTM) System for Wildfire Response
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- 3-D Reconstruction, Visualization, and Modeling of Buildings From Multiple Image Sources
- AI-based Real-time Automatic 3D Reconstruction and Modeling from Multiple Images for SA, Transport, and Dispersion Modeling
- 3D Reconstruction, Visualization, and Modeling of Buildings from Multiple Image Sources
- FRAMER: Fast Reconstruction of Architectural Models from Existing Resources
Research funding history
8 SBIR/STTR records share this UEI (2021–2026). Reported award amounts total $2,983,652. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, National Aeronautics and Space Administration