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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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