Scientific timely actionable robotic data operating system (STARDOS): architecture and progress

Calvin Coopmans; Stephen Brimhall; Ryan Goodman; Steve Petruzza

doi:10.1117/12.2588009

12 April 2021 Scientific timely actionable robotic data operating system (STARDOS): architecture and progress

Calvin Coopmans, Stephen Brimhall, Ryan Goodman, Steve Petruzza

Proceedings Volume 11747, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI; 117470I (2021) https://doi.org/10.1117/12.2588009
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

Aerial remote sensing continues its progression into wider applications and functionality. At the same time, the field of robotics has generated many useful technologies such as the Robotics Operating System v.2 (ROS2) which allows researchers and designers to implement autonomous systems as a meta-operating system. In this paper, such a holistic autonomous data collection system (STARDOS) is shown with the goal of integration of remote sensing data collection (payload) and the robotic platform (in this case, unmanned aerial vehicles). The architecture of STARDOS is shown, along with example payload configurations and analysis use cases such as triangular greeness index (TGI) and feature extraction and matching for real-time 2d photogrammetry.

Conference Presentation

Citation Download Citation

Calvin Coopmans, Stephen Brimhall, Ryan Goodman, and Steve Petruzza "Scientific timely actionable robotic data operating system (STARDOS): architecture and progress", Proc. SPIE 11747, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI, 117470I (12 April 2021); https://doi.org/10.1117/12.2588009

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