High-Throughput Computing and Multi-Sensor Unmanned Aerial Systems in Support of Explosive Hazard Detection

Abstract

Although 2020 was unusual in many ways, e.g., COVID, research has progressed on several fronts at the Univ. of Missouri related to this DURIP. The funds provided have contributed to a number of US Army projects. This report summarizes some of the research enhanced. More details can be provided upon request. This DURIP provided support for (1) computing and storage (algorithm development, evaluation, and real-time prototyping), (2) two drone platforms (one in support of structure from motion, the other for explosive hazard detection), (3) a mobile fog (for flexible real time multi-sensor processing in theatre), and (4) a structure from motion visualization server. The University of Missouri is very grateful for this support, 2020 was our opportunity to set up and start to use the DURIP equipment, and in 2021 we anticipate more follow up success.

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Document Details

Document Type
Technical Report
Publication Date
Apr 12, 2021
Accession Number
AD1198693

Entities

People

  • Derek T. Anderson
  • Grant Scott
  • James M. Keller
  • Kannappan Palaniappan
  • Prasad Calyam

Organizations

  • University of Missouri

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Bayesian Networks
  • Computational Science
  • Computer Vision
  • Computers
  • Control Systems
  • Detectors
  • Distributed Computing
  • Ground Control Stations
  • Image Processing
  • Information Processing
  • Information Systems
  • Machine Learning
  • Neural Networks
  • Pattern Recognition
  • Target Recognition
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles

Readers

  • Distributed Systems and Data Platform Development
  • Munitions and Ordnance Engineering
  • Research Science/Academic Research

Technology Areas

  • Autonomy