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README.md

Signal Enhancement for Magnetic Navigation Challenge Problem

This is a repository for the signal enhancement for magnetic navigation (MagNav) challenge problem, which was introduced at JuliaCon 2020. The high-level goal is to use magnetometer (magnetic field) readings recorded from within a cockpit and remove the aircraft magnetic noise to yield a clean magnetic signal. A detailed description of the challenge problem can be found here and additional MagNav literature can be found here.

Round Start End Winning Team
1 26-Jul-20 28-Aug-20 Ling-Wei Kong, Cheng-Zhen Wang, and Ying-Cheng Lai
Arizona State University (submission)
2 24-Sep-20 4-Jan-21

Introduction Videos

Starter Code

A basic set of starter Julia code files have been provided within the src folder. This code is largely based on work done by Major Canciani. This code has only been tested with Julia 1.4 and 1.5. A sample run file is located within the runs folder, which includes downloading the flight data via artifact (Artifacts.toml). Details of the flight data are described in the readme files within the readmes folder. The flight data can also be directly downloaded from here.

Team Members

The MagNav team is part of the USAF-MIT Artificial Intelligence Accelerator, a joint collaboration between the United States Air Force, MIT CSAIL, and MIT Lincoln Laboratory. Current team members include:

MIT Julia Lab within MIT CSAIL

MIT Lincoln Laboratory

  • Joseph Belarge (Group 46)
  • Michael F. O'Keeffe (Group 89)
  • Jonathan Taylor (Group 52)
  • Michael Yee (Group 01)

Air Force Institute of Technology

  • Major Aaron Canciani
  • Major Joseph Curro
  • Aaron P. Nielsen (DiDacTex, LLC)

Air Force @ MIT

  • Major David Jacobs

Citation

If this dataset is used in any citation, please cite the following work:

[DataSet Name] provided by the United States Air Force pursuant to Cooperative Agreement Number FA8750-19-2-1000 - [dates used]
@article{gnadt2020signal,
  title={Signal Enhancement for Magnetic Navigation Challenge Problem},
  author={Gnadt, Albert R and Belarge, Joseph and Canciani, Aaron and Conger, Lauren and Curro, Joseph and Edelman, Alan and Morales, Peter and O'Keeffe, Michael F and Taylor, Jonathan and Rackauckas, Christopher},
  journal={arXiv e-prints},
  pages={arXiv--2007},
  year={2020}
}

Data Sharing Agreement

Please read the full Data Sharing Agreement located here.

By granting You access to Data, the Air Force grants You a limited personal, non-exclusive, non-transferable, non-assignable, and revocable license to copy, modify, publicly display, and use the Data in accordance with this AGREEMENT solely for the purpose of non-profit research, non-profit education, or for government purposes by or on behalf of the U.S. Government. No license is granted for any other purpose, and there are no implied licenses in this Agreement. This Agreement is effective as of the date of approval by Air Force and remains in force for a period of one year from such date, unless terminated earlier or amended in writing. By using Data, You hereby grant an unlimited, irrevocable, world-wide, royalty-free right to the The United States Government to use for any purpose and in any manner whatsoever any feedback from You to the Air Force concerning Your use of Data.

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