Onboard Autonomy on the Intelligent Payload EXperiment (IPEX) CubeSat Mission. Chien, S.; Doubleday, J.; Thompson, D. R.; Wagstaff, K.; Bellardo, J.; Francis, C.; Baumgarten, E.; Williams, A.; Yee, E.; Stanton, E.; and Piug-Suari, J. Journal of Aerospace Information Systems (JAIS), April, 2016.
abstract   bibtex   
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.
@article{chien-doubleday-thompson-et-al-2016,
  author = {S. Chien and J. Doubleday and D. R. Thompson and K. Wagstaff and J. Bellardo and C. Francis and E. Baumgarten and A. Williams and E. Yee and E. Stanton and J. Piug-Suari},
  title = {Onboard Autonomy on the Intelligent Payload EXperiment (IPEX) CubeSat Mission},
  journal = {Journal of Aerospace Information Systems (JAIS)},
  year = {2016},
  month = {April},
  organization = {AIAA},
  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.},
  clearance = {CL#16-0521},
  project = {ipex},
  featured = 1,
}