Assessing Realism and Uncertainties in Navy Decision Aids

Abstract

The main objectives of the project are: 1) Develop method to characterize the environment and the associated uncertainties using a" single fixed hydrophone, sources of opportunity, and Bayesian inversion scheme; 2) Formulate and solve the previous problem within a probabilistic ML framework and assess the ML usefulness; 3) Extend the previous developments to an AUV context (moving receiver and limited environmental awareness); 4) Train a MIT/WHOI Joint Program student in both acoustics and ML; 5) Conduct an AUV sea trial to validate the proposed methods. To reach the objectives, the project is divided into 5 technical tasks: data analysis (task 1), development of ML methods (task 2), development of signal processing method (task 3), teaching (task 4) and realization of a field ex"periment (task 5).

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 26, 2019
Source ID
N000141912719

Entities

People

  • Robert A. Weller

Organizations

  • Office of Naval Research
  • United States Navy
  • Woods Hole Oceanographic Institution

Tags

Readers

  • Instructional Design and Training Evaluation.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks