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-rgbd-visual-odometry-yanyanli-faster-vo

RGBD Visual Odometry

3dv_tutorial

An Invitation to 3D Vision: A Tutorial for Everyone

a-loam-noted

a-orb-slam2

Advanced ORB-SLAM2

a-simple-stereo-slam-system-with-deep-loop-closing

A simple stereo SLAM system with deep loop closing module. May be useful and friendly for SLAM beginners.

airvo

光照An Illumination-Robust Point-Line Visual Odometry

alvio

Adaptive Line and Point Feature-based Visual Inertial Odometry for Robust Localization in Indoor Environments

awesome-modern-cpp

A collection of resources on modern C++

awesome-planar-reconstruction

A curated list on piecewise-planar reconstruction

awesome-rgbd-slam

RGB-D SLAM open sources，good papers，famous research institutions

awesome-robotic-tooling

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

awesome-slam

A curated list of SLAM resources

awesome-slam-datasets

A curated list of awesome datasets for SLAM

awesome_3dreconstruction_list

A curated list of papers & resources linked to 3D reconstruction from images.

awesome_dynamic_slam

Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)

cdt

Constrained Delaunay Triangulation (C++)

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

cnn-svo

Real-time motion from structure

co-planar-parametrization-vio

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

cpl-slam

Planar Graph-Based SLAM Using the Complex Number Representation

cpl-sync

An implementation of the CPL-Sync algorithm for planar pose graph optimization (PGO)

cpp_practice_image_processing

Implement: Sobel; Canny; Harris; Hough line; Fit line; RANSAC.

cpp_threadpool

A simple C++11 Thread Pool implementation

cs-self-learning

计算机自学指南

cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

cube_slam_wu

Cube SLAM 个人注释版

cv

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

cvpr-2023-papers

CVPR 2023 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. A star in the development of visual intelligence!

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。