Role of Autonomous Unmanned Aerial Systems in Prescribed Burn Projects

Mrinal Kumar, Roger Williams, Amit Sanyal

Research output: Chapter in Book/Entry/PoemConference contribution

Abstract

This short paper describes the potential for use of autonomous multi-UAS teams during all stages of a prescribed burn. The current state of practice of prescribed burning is labor intensive and based on numerous simplifying assumptions. UAS teams promise to increase efficiency and effectiveness, while creating the opportunity to develop new science related to fire behavior. Ingrained in the proposed UAS mission profiles is bi-directional feedback between sensing and computational components at multiple timescales, which is a hallmark of the Dynamic Data Driven Applications Systems (DDDAS) framework.

Original languageEnglish (US)
Title of host publicationDynamic Data Driven Applications Systems - 4th International Conference, DDDAS 2022, Proceedings
EditorsErik Blasch, Frederica Darema, Alex Aved
PublisherSpringer Science and Business Media Deutschland GmbH
Pages395-402
Number of pages8
ISBN (Print)9783031526695
DOIs
StatePublished - 2024
Event4th International Conference on Dynamic Data Driven Applications Systems, DDDAS 2022 - Cambridge, United States
Duration: Oct 6 2022Oct 10 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13984 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Dynamic Data Driven Applications Systems, DDDAS 2022
Country/TerritoryUnited States
CityCambridge
Period10/6/2210/10/22

Keywords

  • Autonomous UAS
  • Dynamic Data Driven Applications Systems (DDDAS)
  • Prescribed Burns

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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