A Novel Active Learning Approach for Constructing High-Fidelity Mobility Maps

Abstract

Constructing mobility maps requires thousands of physics-based simulations, each of which can take weeks using high-performance computing. Trained machine learning (ML) classifiers can quickly generate mobility maps.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2018
Accession Number
AD1057820

Entities

People

  • Dave Mechergui
  • Gary Marple
  • Paramsothy Jayakumar
  • Shravan Veerapaneni
  • Tamer Wasfy

Organizations

  • United States Army Tank Automotive Research, Development and Engineering Center

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Accuracy
  • Errors
  • Functions (Mathematics)
  • Learning
  • Machine Learning
  • Mathematics
  • Mobility
  • Physics
  • Reliability
  • Sampling
  • Simulations

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Maritime Combat Support and Expeditionary Logistics.
  • Parallel and Distributed Computing.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Neural Networks