Python sample codes for robotics algorithms.

Python package for the evaluation of odometry and SLAM

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)

ROS packages for Turtlebot3

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM

gradslam is an open source differentiable dense SLAM library for PyTorch

A library for differentiable robotics.

NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/abs/2210.01276

Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.

我的导航学习笔记，内容涵盖导航定位开源程序的源码解读 ( 包括：RTKLIB、GAMP、GINav、Ginan、PSINS、SoftGNSS、KF-GINS、GICI-Lib 等)、开源项目梳理、书籍讲义、博客翻译、教程讲座推荐；本仓库会长期更新，分享出来，既是跟大家做个交流，也激励着自己坚持学下去；所有内容都可以随意转载，原始文件都放在这了，欢迎在我的基础上整理出自己的一套笔记。

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)

这是一本关于SLAM的书稿，希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到200页左右，书稿每章对应的代码也会被整理出来。

🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)

Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting

OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)

(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)

Full-python LiDAR SLAM using ICP and Scan Context

Python implementation of SLAM algorithm Stereo-PTAM

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)