# A general unscented kalman filter
Written by Basel Alghanem at the University of Michigan ROAHM Lab and based on "The Unscented Kalman Filter for Nonlinear Estimation" by Wan, E. A., & Van Der Merwe, R. (2000). This python unscented kalman filter (UKF) implementation supports multiple measurement updates (even simultaneously) and allows you to easily plug in your model and measurements! Examples to come.

# A general unscented kalman filter
Written by Basel Alghanem at the University of Michigan ROAHM Lab and based on "The Unscented Kalman Filter for Nonlinear Estimation" by Wan, E. A., & Van Der Merwe, R. (2000). This python unscented kalman filter (UKF) implementation supports multiple measurement updates (even simultaneously) and allows you to easily plug in your model and measurements!

# Examples
Trying out the first example (example.py) should be really easy. It reads data from a provided csv and demonstrates the core functionality in a simple case. More info to come!

Update readme for first example
Update readme for first example