@inproceedings{51c6a254575549e5b4c1f739132a2bdb,
title = "Integration and operation of a sUAS-based multi-modal imaging payload equipped with a novel communication system enabling autonomous platform control",
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.",
keywords = "Autonomous, Communication system, Remote sensing, Sensor fusion, Sensors, sUAS",
author = "Duncan, {Andrew M.} and Bogdan Vacaliuc and Larson, {Matthew D.} and Christopher Davis and David Hughes and Katie Corcoran",
note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; Unmanned Systems Technology XXI 2019 ; Conference date: 16-04-2019 Through 18-04-2019",
year = "2019",
doi = "10.1117/12.2517022",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Shoemaker, {Charles M.} and Nguyen, {Hoa G.} and Muench, {Paul L.}",
booktitle = "Unmanned Systems Technology XXI",
}