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Cooperative Research and Development Agreement: SI Situational Awareness Tools for Coast Guard SAR

The Coast Guard proposes a CRADA to test AI-assisted target detection against sensor feeds and derive a defensible coverage factor for data-driven lateral-range-curve SAR planning.

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  • Author(s): U.S. Coast Guard, Department of Homeland Security

  • Source: Federal Register notice

  • Publisher(s): U.S. Coast Guard / Federal Register

  • Publication date: 26 October 2026

  • Country: United States

Summary: public-inspection.federalregister.gov

Why it matters in operational practice: This is the right evaluation question: whether a system performs across low light, fog, precipitation and sea state—and whether its output can inform coverage assumptions.

Operational transferability: Worth monitoring across sensor-enabled SAR. It is not operational validation and should not presently alter POD, sweep-width or coverage assumptions elsewhere.

Important methodological limitations: This is a notice of intent, not a completed trial; no results, test protocol, false-alarm rates or validated coverage factor have yet been published.

Training influence: Use as a discussion prompt: distinguish a detection alert from a confirmed find, require human verification, and retain auditable coverage and contingency decisions.

SAR training sections: UAV operations; visual search; POA/POD/cumulative probability; Search Operations and progress monitoring; decision logging; planning decisions and contingencies.

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