IEEE

Density Adaptive Registration of Large-Scale Point Clouds in Diverse Outdoor Environments

Abstract: Point cloud registration is the foundation of collaborative multi-robot mapping tasks in outdoor environments. Due to the dynamic changes in communication bandwidth, the density of point ...
GitHub

Rectified Point Flow: Generic Point Cloud Pose Estimation

Improved model speed (9-12% faster) and training stability. Fixed bugs in configs, RK2 sampler, and validation. Simplified point cloud packing and shaping. Checkpoints are compatible with the previous ...
IEEE

Point Cloud Segmentation Algorithm Based on Improved Euclidean Clustering

Abstract: Point cloud segmentation is a crucial technique for object recognition and localization, widely employed in various applications such as point cloud registration, 3D reconstruction, object ...
GitHub

Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds

This repository contains the implementation of the experiments presented in our paper "Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds". It is available in early access at this link.