A list of papers and datasets about point cloud analysis (processing)

A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features

The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection

Semantic 3D Reconstruction with Learning MVS and 2D Segmentation of Aerial Images, Applied Sciences

Trying to compute the completeness of a 3D map and compare it to another 3D map in a pointcloud format

Minimum code needed to run Autoware multi-object tracking

This is a repository mainly about IEEE data fusion contest 2019 track 4 — Cloud points classification

GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.

Dash Robotics Perception

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

Point cloud segmentation with Azure Kinect

In this project we detect, segment and track the obstacles of an ego car and its custom implementation of KDTree, obstacle detection, segmentation, clustering and tracking algorithm in C++ and compare it to the inbuilt algorithm functions of PCL library on a LiDAR's point cloud data.