Fusion of Cooperative Information Sharing for Uncrewed Air Systems (FOCISAUS)
Overview
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STTR · Phase: Phase II · Topic DAF27TZ01-DV003 · Solicitation 27.TZ
Distributed air operations increasingly depend on timely awareness of objects, hazards, and activities beyond the field of view of any individual platform. Cooperative perception offers a path to extend sensing coverage and reduce blind spots by allowing multiple platforms and supporting nodes to share sensor-derived information. Yet this benefit is limited by the large size of modern sensor data, the variability of wireless links, the need for rapid decision making, and the difficulty of combining observations from different platforms, geometries, and sensing modalities. This topic seeks prototype-ready solutions that build on prior feasibility work in distributed information sharing, compression, adaptive transmission, and sensor data fusion. The government is interested in capabilities that can select and transmit the most relevant information, manage latency and bandwidth constraints, and fuse data from multiple sources into improved perception outputs for autonomy or operator use. Offerors should address the data fusion aspect as a core requirement of the overall solution, whether through point cloud fusion, image or radar correlation, feature or object fusion, track association, or other mission-appropriate methods. Solutions should also describe how fused outputs are exposed to mission applications, edge processing nodes, or user interfaces. Approaches that can operate under degraded or intermittent communications and can scale across multiple sensing platforms are of particular interest. Prototype capabilities may include, but are not limited to: Distributed organization, naming, publication, discovery, or retrieval of sensor information; Adaptive data selection, fidelity control, compression, and transmission policies; Real-time or near-real-time fusion and correlation of data from multiple platforms or sensor types; Delivery of fused perception products to autonomy software, edge analytics, or mobile mission applications; and Measurable improvements in latency, bandwidth efficiency, blind-spot reduction, and detection or tracking performance.
- Category
- R&D
- Industry
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- Technology
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- Target stage
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- Project duration
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- Estimated preparation
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Funding
Award size and how it is paid
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- Currency
- USD
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- Co-funding
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- Matching fund
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- Disbursement
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- Note
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Eligibility
Can we actually apply?
SBIR/STTR 은 미국 중소기업만 지원할 수 있습니다(Small Business Act 법정 요건). • 계열사를 포함해 상시 종업원 500명 이하 • 미국 시민 또는 영주권자 1인 이상이 50%를 초과해 직접 소유·지배 • 미국 내 사업장을 두고 주로 미국 내에서 사업을 영위할 것 • 수행책임자(PI)의 주된 근무처가 신청 기업일 것 출처: https://www.sbir.gov/faq/eligibility-requirements
- Company age
- Needs verification
- Employees
- 0명 ~ 500명
- Revenue limits
- Needs verification
- Consortium
- Needs verification
Location Requirements
Geography and legal-entity conditions
- Primary country
- 🇺🇸 United States
- Also eligible
- None
- Foreign companies
- No
- Local entity
- Required
- Location condition
- 미국 내 사업장을 두고 미국 시민·영주권자가 50%를 초과해 소유한 중소기업만 신청할 수 있습니다(법정 요건).
Required Documents
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Document requirements were not captured (needs verification). Check the official announcement.
Application Process
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Evaluation
Review process and criteria
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Timeline
Announcement → intake → review → agreement → execution
Process steps were not captured.
Equity & Financial Terms
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- Equity required
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- Loan
- Non-dilutive grant
- Duplicate funding
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- IP ownership
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- Deliverable ownership
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- Exclusivity
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- Right of first refusal
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- Audit & settlement
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Risk Intelligence
Should we apply at all? — five dimensions plus an overall score (lower is safer)
No risk assessment yet. Re-analyse from Admin.
IP / Idea Protection
How much of your technology and idea you must disclose
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AI Analysis
Pros · cons · difficulty · competition · attractiveness
From paperwork and review stages
Heuristic from award size and type
Amount, terms and IP combined
Weighted average of five dimensions
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- Nothing flagged
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Comparable by type, country and technology
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Source & Provenance
Every value carries its source URL and fetch time
- Official URL
- https://www.dodsbirsttr.mil/topics-app/
- Application URL
- https://www.dodsbirsttr.mil/topics-app/
- Last fetched
- 2026.10.07
- Human review
- Not reviewed — check the official announcement
- First seen
- 2026.10.07
- Data status
- Auto-collected, not reviewed
- AI enrichment
- Needs verification
- PRIMARY
- HTMLSBIR/STTR 자격요건 (법정)
Fetched 2h ago
- HTML발주 기관 공식 공고
Fetched 2h ago
- · 2h ago — 최초 수집 (41b755de)