Jeffrey's starred repositories
EGO-Planner-v2
Swarm Playground, the codebase of the paper "Swarm of micro flying robots in the wild"
ardupilot_gz
Tools for ArduPilot ROS2 integration and testing on ROS 2 humble
ardupilot_ros
ArduPilot ROS integration
Navigation-Learning
我的导航学习笔记，内容涵盖导航定位开源程序的源码解读 ( 包括：RTKLIB、GAMP、GINav、Ginan、PSINS、SoftGNSS、KF-GINS、ORB-SLAM3、GICI-Lib 等)、各种导航设备的使用方式、书籍讲义、博客翻译、开源项目梳理、常用网站记录、Linux/Vim/Git/ROS/VSCode 常用命令；本仓库会长期更新，分享出来，跟大家做个交流，也激励着自己坚持学下去；所有内容都可以随意转载，可用于任何目的，不必征求我的意见；如果您觉得内容有价值，推荐用 Github-Desktop 下载并保持更新。
FAST_LIO_SLAM
LiDAR SLAM = FAST-LIO + Scan Context
cartographer_ros
Provides ROS integration for Cartographer.
cartographer
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
ros2_navigation_stvl
ROS2-based navigation and mapping package using Nav2 and STVL plugin.
UAV-Lidar-flight-planner
UAV Lidar mapping systems
FAST_LIO_LC
The tight integration of FAST-LIO with Radius-Search-based loop closure module.
FAST-LIO-SAM
a SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on LIO-SAM paper
FAST-LIO-SAM-SC-QN
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on ScanContext, Quatro, and Nano-GICP
FAST-LIO-Localization-SC-QN
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method, and with ScanContext as a loop candidate detection method
FAST-LIO-SAM-QN
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
FAST_LIO_SAM
Front_end : fastlio2 Back_end : lio_sam
hdl_graph_slam
3D LIDAR-based Graph SLAM
faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
lidarslam_ros2
ROS 2 package of 3D lidar slam using ndt/gicp registration and pose-optimization
li_slam_ros2
ROS 2 package of tightly-coupled lidar inertial ndt/gicp slam
lidar_localization_ros2
3D LIDAR Localization using NDT/GICP and pointcloud map in ROS 2 (Not SLAM)
FAST_LIO_SLAM_ros2
LiDAR SLAM = FAST-LIO + Scan Context, ported to ros2
FAST_LIO_LOCALIZATION
A simple localization framework that can re-localize in built maps based on FAST-LIO.