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capstone's Introduction

Detecting and Preventing GPS spoofing against vehicular networks

The simulation code for my capstone project, structured as follows:

  • coordinates.py: ECEF to geodesic coordinate conversions and vice versa. Used to interpret data in the ECEF coordinate frame
  • drivers.py: data ingestion and processing from the Zurich Micro Aerial Vechile dataset
  • error.py: modelling the distribution of squared distances from the origin to some point whose location is determined by a given Gaussian distribution.
  • helpers.py: helper functions.
  • kalman.py: an implementation of a working Unscented Kalman filter (UKF), compared against other implementations.
  • sim.py: main driver file for the simulation.
  • main.py: experimental simulation approach that did not end up panning out.
  • vehicle.py: vehicular driving models in both 2D and 3D.

capstone's People

Contributors

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