liang-jinli's repositories
Hello_Fudan
⚙ 自动化平安复旦助手 (带验证码识别)
A-LOAM
Advanced implementation of LOAM
android_rinex
This repository contains a python script that converts logs from Google's GNSS measurement tools to RINEX
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
awesome-cs-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
awesome-gnss
Community list of open-source GNSS software and resources :satellite:
CIGRLogger
An android app to collect camrea images, IMU data, and GPS measurements in Rinex.
fishEyeFlattener
A ROS package for splitting fish eye camera image into flattened sub-images.
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
GVINS
Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.
Lee-SLAM-source
SLAM 开发学习资源与经验分享
LVI-SAM
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
LVI-SAM-Noted
LVI-SAM代码注释
lvio_fusion
Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method (IROS 2021)
M2DGR
M2DGR： a Multi-modal and Multi-scenario Dataset for Ground Robots
ORB_SLAM2_detailed_comments
Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing
r2live
R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.
Sensor-Fusion-for-Localization-Courseware
Multi-sensor fusion for localization courseware, 深蓝学院, China
SLAM-All-In-One
SLAM汇总，包括多传感器融合建图、定位、VIO系列、常用工具包、开源代码注释和公式推导、文章综述
UrbanNavDataset
UrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong
VINS-Mono
A Robust and Versatile Monocular Visual-Inertial State Estimator