Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
master
Roger Labbe
Fixed terms in Taylor series #307
Updated animations
All line endings to LF from CRLF
Normalize binary line ending
Issue #339 Simplied code for intersection of two bearings.
Added comments for how to currently build book
added binary attirbutes for binary files
altered velocity covariance position #320
Updated for Python 3.6
Fixed some typos
Updated to Python 3.6
Fix all Notebook validation failed errors.
Merge pull request #346 from endolith/patch-1
Started altering to use filterpy project.
Merge pull request #319 from vsingla2/fix_conda_env_yml
Fixed CC License
updated requirements
point to localhost