Publications with source code:
SAVIOR: Securing Autonomous Vehicles with Robust Physical Invariants
- “DIODE: A Dense Indoor and Outdoor DEpth Dataset” data comes from the DDDAS program
- madlab.ml.wisc.edu – Machines, Algorithms and Data Lab
 - Datasets – madlab.ml.wisc.edu
 
 - WAMI
- GitHub – AFRL-RY/data-clif-2007: Wide area motion imagery aerial data with 3,000,000+ labels
 
 - High-rate Structural Monitoring, Damage Detection, Prognostics, and Reactions Working Group – High-Rate-SHM-Working-Group
 - https://github.com/RPI-WCL/Athena_LibDDDAS