Cui Tongxin (Wayne-sketch)

Wayne-sketch

Geek Repo

Company:South University of Science and Technology

Location:South University of Science and Technology in SHENZHEN,CHINA

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Cui Tongxin's repositories

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lio-mapping

Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

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LIO-SAM-DetailedNote

LIO-SAM源码详细注释,3D SLAM融合激光、IMU、GPS

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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.

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VINS-Mono

A Robust and Versatile Monocular Visual-Inertial State Estimator

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A-LOAM_BoW3D_CSF_BALM_union

在A-LOAM的基础上添加BoW3D CSF BALM功能模块

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shenlan_VIO

深蓝学院SLAM进阶课程-从零手写VIO 学习记录

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BoW3D

[RA-L] BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM.

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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。

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slam_in_autonomous_driving

《自动驾驶中的SLAM技术》对应开源代码,参加第一期课程后添加了完成的作业

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PL-VINS

PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features

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rpg_dvs_ros

ROS packages for DVS

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ORB_SLAM_challenge_part3

ORB_SLAM挑战赛学习第三部分,ORB_SLAM3

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algorithm_learn

数据结构与算法学习记录

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ORB_SLAM3_detailed_comments

Detailed comments for ORB-SLAM3

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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.

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cs-self-learning

计算机自学指南

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learnopencv

Learn OpenCV : C++ and Python Examples

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ORB_SLAM_challenge

cvlife ORB_SLAM2挑战赛编程作业

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ORB_SLAM2_detailed_comments

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

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LIO-Livox

个人添加注释 A Robust LiDAR-Inertial Odometry for Livox LiDAR

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ORB_SLAM3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

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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 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。

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ORB_SLAM2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

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r3live

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

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FAST_LIO

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

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LeGO-LOAM

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

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leetcode

LeetCode Problems' Solutions

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