(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
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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.
Python package for the evaluation of odometry and SLAM
PROJ - Cartographic Projections and Coordinate Transformations Library
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.