Point-Cloud-Study

Point Cloud Study from Basic to Advance

Beginner

1. TP of the course of point clouds and 3D modeling

   • Code written to answer the TP of the course of point clouds and 3D modeling given by F. Goulette, J-E Deschaud, T. Boubekeur, and D. Horace.
   • Links : https://github.com/Xyouz/mva-npm3d
   • Links : https://github.com/edwardzhou130/PolarSeg

2. Homeworks for the MVA course "Point Clouds and 3D Modeling"

   • Links : https://github.com/jtpils/3D-pointclouds

3. Cours “Nuages de Points et Modélisation 3D (NPM3D)”

   • Links : https://www.caor.minesparis.psl.eu/presentation/cours-npm3d/

Intermediate

1. PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

   • Links : https://github.com/edwardzhou130/PolarSeg

Advance

1. CT-ICP: Continuous-Time LiDAR Odometry

   • Links : https://github.com/jedeschaud/ct_icp

Other Links

1. NPM3D is "Nuage de Points et Modélisation 3D" in French and means 3D Point Cloud and Modeling.

   • Link : https://npm3d.fr/paris-lille-3d

Lidar

1. LiDAR Visualizer rocket:

• A flexible, easy-to-use, LiDAR (or any point cloud) visualizer for Linux, Windows, and macOS.
• Code : https://github.com/PRBonn/lidar-visualizer

2. KISS-ICP

• KISS-ICP is a LiDAR Odometry pipeline that just works on most of the cases without tunning any parameter.
• Code : https://github.com/PRBonn/kiss-icp