Software requirements, architecture, design, and results of a modular, multispectral, scientific quality unmanned aerial system payload for civilian remote sensing

Calvin Coopmans; James Humble; Matthew Givens

doi:10.1117/12.2519164

14 May 2019 Software requirements, architecture, design, and results of a modular, multispectral, scientific quality unmanned aerial system payload for civilian remote sensing

Calvin Coopmans, James Humble, Matthew Givens

Author Affiliations +

Proceedings Volume 11008, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV; 1100809 (2019) https://doi.org/10.1117/12.2519164
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

Small unmanned aerial systems (sUAS) for civil remote sensing applications are becoming ubiquitous for scientific insight about targets such as micro-agriculture, invasive species monitoring, and environmental survey applications. For the upcoming generation of beyond visual-line-of-sight (BVLOS) capable sUAS, a flexible, robust, and high-performance payload management and data collection software is required. In this paper, a high-rate, accurate, multispectral, modular, payload control software (“AggieCap3”) for such BVLOS sUAS is described, including system requirements, architecture, implementation, and results from both fixed- and rotary-wing craft, demonstrating the systems applicability for civilian scientific aerial remote sensing.

Conference Presentation

Citation Download Citation

Calvin Coopmans, James Humble, and Matthew Givens "Software requirements, architecture, design, and results of a modular, multispectral, scientific quality unmanned aerial system payload for civilian remote sensing", Proc. SPIE 11008, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV, 1100809 (14 May 2019); https://doi.org/10.1117/12.2519164

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