Plume Localization Using Machine-learning for Environmental Sensing (PLUMES)
ID: DTRA252-001Type: BOTH
Overview

Topic

Plume Localization Using Machine-learning for Environmental Sensing (PLUMES)

Agency

Agency: DODBranch: DTRA

Program

Type: SBIRPhase: BOTH

Topic Link

https://www.dodsbirsttr.mil/topics-app/

Additional Information

https://www.dodsbirsttr.mil/topics-app/
Timeline
    Description

    The Defense Threat Reduction Agency (DTRA) is seeking innovative solutions through the Small Business Innovation Research (SBIR) program for the development of an AI-driven system for plume localization using machine learning in environmental sensing. The objective is to create a platform-agnostic algorithm that integrates data from various sensors, such as LIDAR and radar, to autonomously detect and track airborne plumes generated during explosive tests, enhancing data collection and operational efficiency in hazardous environments. This opportunity is critical for improving situational awareness and data accuracy in explosive test scenarios, with potential applications in hazardous material detection and emergency response. The solicitation is set to open on April 23, 2025, with proposals due by May 21, 2025, and further details can be found at the DOD SBIR website.

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