Multi UAV Monitoring and Intervention of Spreading Processes such as Wildfires

Abstract

A natural disaster such as a wildfire, flood, or environmental contamination has the property that its negative effects can spread from one or more sources over a wide geographical area. This project will develop new algorithms to enable monitoring and intervention of such processes using teams of unmanned aerial vehicles (UAVs). These algorithms will prioritize surveillance and intervention by taking into account both localised event detections, and also how those events spread and their potential impact on populated or high value areas. The algorithms will be tested in realistic simulations taking into account vehicle motion, sensing, and communication constraints as a pathway to future experimental field trials.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 14, 2022
Source ID
FA23861914076XX0

Entities

People

  • Ian R Manchester

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Sydney

Tags

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design

Technology Areas

  • Autonomy
  • Autonomy - UAVs