Stars
Unofficial implementation of "MapCleaner" a method for removing moving objects from point cloud maps.
An efficient and consistent bundle adjustment for lidar mapping
A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites
Official implementation of αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System
3D高斯论文，持续更新，欢迎交流讨论。
[ECCV '24] VEGS: View-Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors
[ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
A detailed formulae explanation on gaussian splatting
L-PR: Exploiting LiDAR Fiducial Marker for Unordered Low Overlap Multiview Point Cloud Registration
Papers, code and datasets about deep learning for 3D Object Detection.
OpenMMLab course index and stuff
A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
This reposiotry is the collection for public 3D LiDAR datasets
Python sample codes and textbook for robotics algorithms.
ICRA2023, A real-time LiDAR simultaneous localization and meshing method.
A simple Delaunay 2D triangulation in python (with numpy)
Gazebo simulation of dynamics environment in warehouses.
The Kalibr visual-inertial calibration toolbox
Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)
An ongoing implementation ros node on `fast segmentation of 3d point clouds: a paradigm`...
Ground Segmentation from Lidar Point Clouds
Some Python Implementations of the Kalman Filter
Fast normal estimation for point cloud from velodyne HDL-32e
SLAM package using NDT registration library of Autoware with loop-closure detection (odometry based) referenced from lego_loam.