Particle Filter implementation for 2D lidar using Gaussian Processes
Project description
pygp_particle_filter
Particle-path SLAM implementation that uses Gaussian Process Regression to determine particle weights based on the consistency between current and past lidar scans. You can install it from:
pip install pygp-particle-filter
or alternatively clone the git repository at https://github.com/miquelmassot/pygp_particle_filter, and install the packages with the following command from its root directory.
pip install -e .
The example jupyter notebook illustrates basic usage.
The approach is explained in the University of Southampton FEEG6043: Intelligent Mobile Robotics module notes and associated tutorials.
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