Scout | Physics-based Data Augmentation for Machine Learning (ML) Models

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Physics-based Data Augmentation for Machine Learning (ML) Models

This grant opportunity seeks the development of a tool to create realistic synthetic sonar data for training AI/ML algorithms.

Phase I: Focuses on designing a concept to produce synthetic sonar sequences. Feasibility is determined through modeling and analysis. An optional part may include creating initial design specifications to build a prototype in Phase II…

Agency: Department of the Navy

Opportunity Released: January 8, 2025

sonar

synthetic data

AI/ML

signal processing

simulation

Navy

underwater acoustics

sensor data

machine learning algorithms

defense technology

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