- 🏢 I’m currently working on SLAM.
- ⚡ 本人研究方向为SLAM、多传感器融合等.
- ⚙️
- 🌍 xxx
- 🤔 程序员、小可爱Boy、机器人爱好者、不学习就会死
xiaowangneu Goto Github PK
Type: User
Bio: 🤔I am Focusing on SLAM and Visual Localization
Location: China
Type: User
Bio: 🤔I am Focusing on SLAM and Visual Localization
Location: China
A curated list of awesome datasets for SLAM
CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System
C++那些事
Cube SLAM 个人注释版
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
This repository includes an RGB-D VO system that combines both point and line features and leverages, if exist, structural regularities and the Manhattan axes of the scene.
MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]
Multi-Sensor Fusion (GNSS, IMU, Camera) 多源多传感器融合定位 GPS/INS组合导航 PPP/INS紧组合
A C++ implementation for paper Object-oriented SLAM using Quadrics and Symmetry Properties for Indoor Environments.
Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing
Detailed comments for ORB-SLAM3
OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications
PEAC(Plane Extraction using Agglomerative Clustering) is a fast plane segmentation algorithm for organized point cloud. This is a fork of peac (http://www.merl.com/research/license)
A RGB-D SLAM system for structural scenes, which makes use of point-line-plane features and the Manhattan World assumption.
A repository for PlaneSLAM project.
Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps
🔥🔥🔥SLAM, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
RESLAM: A real-time robust edge-based SLAM system
Robust Edge-based Visual Odometry (REVO)
A C++ Library for Simultaneous Localization and Mapping using Random Finite Sets
semantic visual slam for monocular and stereo camera devices
这是一本关于SLAM的书稿,希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到200页左右,书稿每章对应的代码也会被整理出来。
collection of papers in slam...
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