Integration and operation of a sUAS-based multi-modal imaging payload equipped with a novel communication system enabling autonomous platform control

Andrew M. Duncan, Bogdan Vacaliuc, Matthew D. Larson, Christopher Davis, David Hughes, Katie Corcoran

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Oak Ridge National Laboratory presents a new UAS-mounted multi-modal imaging payload containing five sensors. We have integrated several distinct commercially available sensors onto a large Class-1 autonomous quadcopter aircraft: a LIDAR (Light Detection and Ranging) scanner, a hyperspectral pushbroom sensor, a multispectral camera, a longwave infrared thermal camera, and an RGB camera. The system integrates our proprietary Multi-modal Autonomous Vehicle Network (MAVNet) and communication system, allowing autonomous control via multiple communication networks. Using one common Global Navigation Satellite System (GNSS) and inertial navigation system (INS/GPS), imagery from all sensors are accurately and precisely geolocated and co-registered.

Original languageEnglish
Title of host publicationUnmanned Systems Technology XXI
EditorsCharles M. Shoemaker, Hoa G. Nguyen, Paul L. Muench
PublisherSPIE
ISBN (Electronic)9781510627079
DOIs
StatePublished - 2019
EventUnmanned Systems Technology XXI 2019 - Baltimore, United States
Duration: Apr 16 2019Apr 18 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11021
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceUnmanned Systems Technology XXI 2019
Country/TerritoryUnited States
CityBaltimore
Period04/16/1904/18/19

Keywords

  • Autonomous
  • Communication system
  • Remote sensing
  • Sensor fusion
  • Sensors
  • sUAS

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