lixuejianself Goto Github PK

a-loam

Advanced implementation of LOAM

a-loam-noted

adassourrondview

The C++ code demo for surround view of car

alterground-lego-loam

The page for PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry

apollo

An open autonomous driving platform

audio_common

Common code for working with audio in ROS

autoware

Autoware - the world's leading open-source software project for autonomous driving

blueskyflightcontrol

天穹飞控：致力于打造**最强大的多旋翼开源飞控！

bow3d

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

car_demo

carnd-mpc-project-master

Udacity MPC controller

cartographer_detailed_comments_ws

cartographer work space with detailed comments

cmaketutorial

CMake中文实战教程

cppidioms

PimPL

cuda_study

cupcl

A project demonstrating how to use the libs of cuPCL.

data

PCD files for tutorials, examples, or PCL-related applications

dig-into-apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

direct_visual_lidar_calibration

A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]

easy3d

A lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data

eskf-gps-imu-fusion

使用误差状态卡尔曼滤波器融合GPS和IMU，实现更高精度的定位

evo

Python package for the evaluation of odometry and SLAM

fast_lio_lc

The tight integration of FAST-LIO with Radius-Search-based loop closure module.

fast_lio_sam

Front_end : fastlio2 Back_end : lio_sam

fast_lio_slam

LiDAR SLAM = FAST-LIO + Scan Context

faster-lio

Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels

faster-lio_noted

Faster-LIO (添加中文注释)

firmware

Open Source 3 Axis Gimbal Controller firmware

fuzzy-controller

https://blog.csdn.net/cyb519/article/details/77993834　This fuzzy controller is based on C++. You can use triangle membership function or Gauss membership function or Trapezoid membership function to fuzzification the input error and error ratio, and it uses Madanni model to defuzzification . In the main function we have implemented one example which set target to 60 to verify the efficiency of this fuzzy controller, the result has proved that it does work well. If you have any questions about this, don't bother to contact me, My email address is [email protected]

g2o-example

g2o的简单例程。可以参考对应的博客：https://blog.csdn.net/u011341856/article/details/112134763