Name: Cui Tongxin
Type: User
Company: South University of Science and Technology
Bio: I am Cui Tongxin, a student in South University of Science and Technology. I want to study in Github and try to make some contributions to the communit
Location: South University of Science and Technology in SHENZHEN,CHINA
Cui Tongxin's Projects
在A-LOAM的基础上添加BoW3D CSF BALM功能模块
数据结构与算法学习记录
[RA-L] BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM.
高性能并行编程与优化 - 课件
计算机自学指南
《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。
This repo contains MATLAB implementations of the event-based feature tracking methods described in "Event-based Feature Tracking with Probabilistic Data Association" and "Event-based Visual Inertial Odometry".
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
《Hello 算法》:动画图解、一键运行的数据结构与算法教程,支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。
将EDlines直线检测算法和LBD描述子应用于事件相机
Learn OpenCV : C++ and Python Examples
LeetCode Problems' Solutions
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
个人添加注释 A Robust LiDAR-Inertial Odometry for Livox LiDAR
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
LIO-SAM源码详细注释,3D SLAM融合激光、IMU、GPS
An all-in-one and ready-to-use LiDAR-inertial odometry system for Livox LiDAR
Drivers for receiving LiDAR data and more, support Lidar Mid-40, Mid-70, Tele-15, Horizon, Avia.
Livox device driver under ros, support Lidar Mid-40, Mid-70, Tele-15, Horizon, Avia.
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
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.
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
在原注释基础上添加自己的理解Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Detailed comments for ORB-SLAM3