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apollo

An open autonomous driving platform

awesome-ba-exercise

手写Bundle Adjustment 优化代码，当前版本是没有优化point pose的，即只优化位姿

ba_pnp

手写BA：从角点探测、描述子计算、暴力匹配，到2D-3D的PnP位姿估计

backward-cpp

A beautiful stack trace pretty printer for C++

book4_power-of-matrix

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

cmake-3.25.3-tutorial-source

This repository is about CMake tutorial

coding-ebook

程序员相关电子书资料免费分享，欢迎关注个人微信公众号：程序员编程指南

d-liom

Tightly-coupled Direct LiDAR-Inertial Odometry and Mapping Based on Cartographer3D.

easyspider

A visual no-code/code-free web crawler/spider易采集：一个可视化浏览器自动化测试/数据采集/爬虫软件，可以无代码图形化的设计和执行爬虫任务。别名：ServiceWrapper面向Web应用的智能化服务封装系统。

ekf

ekf_loam

evo

Python package for the evaluation of odometry and SLAM

fbow_orb_vocab--for-openvslam-

fieldrobotnavigation

This repositoty is from Mr. Li Yunhui

fixed_fbow_openvslam

FBoW (Fast Bag of Words) is an extremely optimized version of the DBoW2/DBoW3 libraries.

geektime-books

:books: 极客时间电子书

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

github-chinese-top-charts

:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。

gitskills

ground-fusion

Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024)

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing

icra-2022-slam-paper-list

Unofficial ICRA 2022 SLAM paper list

kalibr

The Kalibr visual-inertial calibration toolbox

learngit

lee-slam-source

SLAM 开发学习资源与经验分享

lidar_imu_calib

Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation

lidar_imu_init

[IROS2022] Robust Real-time LiDAR-inertial Initialization Method.

localization_in_auto_driving

从另开始做自动驾驶定位（二）

lvi-sam

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

mins

An efficient and robust multisensor-aided inertial navigation system with online calibration that is capable of fusing IMU, camera, LiDAR, GPS/GNSS, and wheel sensors. Use cases: VINS/VIO, GPS-INS, LINS/LIO, multi-sensor fusion for localization and mapping (SLAM). This repository also provides multi-sensor simulation and data.