• Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • Domain: Aerospace
  • Keywords: Machine Learning, Prediction, Trajectory Analytics
  • Tools: Git, Jupyter Notebooks, Machine Learning, Python, Tracktable (Sandia Python library)
  • Citizenship: Open to all students
Summary

This project will focus on trajectory prediction and analysis. Observing trajectories that have crossed an area or recovering lost segments. Predicting where the trajectory will be after a certain amount of time and where the vehicle will be.

Description

Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Sandia (flight)' in the Note section, and select the appropriate CRN.