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Harbin Institute of Technology
- Shenzhen, China
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monocular visual inertial system with point and line features
A professional cross-platform SSH/Sftp/Shell/Telnet/Serial terminal.
A simple localization framework that can re-localize in built maps based on FAST-LIO.
winlibs standalone build of GCC compiler and MinGW-w64
BehaviorTree.CPP utilities to work with ROS2
🚀 Automate versioning and package publishing
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction
A simple localization framework that can re-localize in one point-cloud map.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
[RA-L 2022] An efficient and probabilistic adaptive voxel mapping method for LiDAR odometry
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
This repository provides implementation of an incremental k-d tree for robotic applications.
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
[RA-L] BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM.
Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)
Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21
xuzhen / dukto-qt5
Forked from maz-1/dukto-qt5Dukto is an easy file transfer tool for LAN. Support Windows/MacOS/Linux/Android
SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration (CVPR 2022)
深蓝学院 多传感器定位融合第四期 学习笔记
A simple and efficient 3D line detection algorithm for large scale unorganized point cloud
Manually manipulate TFs in ROS using this Rviz plugin.
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.