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

doi:10.1117/12.2517022

13 May 2019 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

Author Affiliations +

Proceedings Volume 11021, Unmanned Systems Technology XXI; 1102103 (2019) https://doi.org/10.1117/12.2517022
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

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.

Citation Download Citation

Andrew M. Duncan, Bogdan Vacaliuc, Matthew D. Larson, Christopher Davis, David Hughes, and Katie Corcoran "Integration and operation of a sUAS-based multi-modal imaging payload equipped with a novel communication system enabling autonomous platform control", Proc. SPIE 11021, Unmanned Systems Technology XXI, 1102103 (13 May 2019); https://doi.org/10.1117/12.2517022

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