Onboard Autonomy on the Intelligent Payload EXperiment CubeSat Mission
- 1 June 2017
- journal article
- Published by American Institute of Aeronautics and Astronautics (AIAA) in Journal of Aerospace Information Systems
- Vol. 14 (6), 1-9
- https://doi.org/10.2514/1.i010386
Abstract
The Intelligent Payload Experiment (IPEX) is a CubeSat that flew from December 2013 through January 2015 and validated autonomous operations for onboard instrument processing and product generation for the Intelligent Payload Module of the Hyperspectral Infrared Imager (HyspIRI) mission concept. IPEX used several artificial intelligence technologies. First, IPEX used machine learning and computer vision in its onboard processing. IPEX used machine-learned random decision forests to classify images onboard (to downlink classification maps) and computer vision visual salience software to extract interesting regions for downlink in acquired imagery. Second, IPEX flew the Continuous Activity Scheduler Planner Execution and Re-planner AI planner/scheduler onboard to enable IPEX operations to replan to best use spacecraft resources such as file storage, CPU, power, and downlink bandwidth. First, the ground and flight operations concept for proposed HyspIRI IPM operations is described, followed by a description the ground and flight operations concept used for the IPEX mission to validate key elements of automation for the proposed HyspIRI IPM operations concept. The use of machine learning, computer vision, and automated planning onboard IPEX is also described. The results from the over-1-year flight of the IPEX mission are reported.Keywords
This publication has 22 references indexed in Scilit:
- Automating X-ray Fluorescence Analysis for Rapid Astrobiology SurveysAstrobiology, 2015
- Onboard Science Processing Concepts for the HyspIRI MissionIEEE Intelligent Systems, 2009
- A new global raster water mask at 250 m resolutionInternational Journal of Digital Earth, 2009
- Sensitivity of Narrow‐Band and Broad‐Band Indices for Assessing Nitrogen Availability and Water Stress in an Annual CropAgronomy Journal, 2008
- Monitoring active volcanism with the Autonomous Sciencecraft Experiment on EO-1Remote Sensing of Environment, 2006
- Flood detection and monitoring with the Autonomous Sciencecraft Experiment onboard EO-1Remote Sensing of Environment, 2006
- MODVOLC: near-real-time thermal monitoring of global volcanismJournal of Volcanology and Geothermal Research, 2004
- The MODIS fire productsRemote Sensing of Environment, 2002
- Automated volcanic eruption detection using MODISRemote Sensing of Environment, 2002
- Support-vector networksMachine Learning, 1995