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12 April 2021 Scientific timely actionable robotic data operating system (STARDOS): architecture and progress
Calvin Coopmans, Stephen Brimhall, Ryan Goodman, Steve Petruzza
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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
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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