Sandia (Flight) - Trajectory Prediction
 Open for Registration
  • Lecture time: Friday: 15:30:00 - 16:20:00 ET
  • Lab time: Monday: 15:30:00 - 17:20:00 ET
  • Domain: Aerospace
  • Keywords: Aerospace, Machine Learning, Prediction, Predictive Modeling, Trajectory Analytics
  • Tools: Git, Jupyter Notebooks, Machine Learning, Python, Tracktable (Sandia Python library)
  • Citizenship: U.S. Citizens Required
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.

AY 2024 - 2025 Last updated: May 2, 2024, 3:20 p.m.