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Point Cloud Registration based on Gaussian Mixtures and Pairwise Wasserstein Distances

This repository contains code for the simulation study conducted in the paper

Point Cloud Registration based on Gaussian Mixtures and Pairwise Wasserstein Distances
Simon Steuernagel, Aaron Kurda and Marcus Baum
Combined SDF and MFI Conference 2023

Note that, unfortunately, the code for the LiDAR odometry pipeline employed in the experiments on the KITTI data set is not public. When possible, a link to the odometry code will be added here.

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Simulation study and implementation of GWDICP

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