fanyanfu's repositories
matplotplusplus
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
global-LeGO-LOAM
global localization algorithm in point cloud map generated with loam
Urban_PointCloud_Processing
Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.
W-LOAM
A ros package for robust odometry and mapping using LiDAR with aid of different sensors
extrinsic_lidar_camera_calibration
This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.
fusion-lidar-camera-ROS
This repository uses a ROS node to subscribe to camera (hikvision) and lidar (livox) data. After the node merges the data, it publishes the colored point cloud and displays it in rviz.
interactive_slam
Interactive Map Correction for 3D Graph SLAM
Fast-Drone-250
hardware design of the 250mm drone
FAST_LIO_LOCALIZATION
A simple localization framework that can re-localize in built maps based on FAST-LIO.
semantic-segmentation-editor
Web labeling tool for bitmap images and point clouds
stairs_recogniton
Recognize stairs with lidar.
Multi_Chessboard_Corner_Extraction
用C++编写的多棋盘格角点提取算法
autonomous_exploration_development_environment
Leveraging system development and robot deployment for ground-based autonomous navigation and exploration.
FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
VLOAM-CMU-16833
CMU 16-833 "Robot Localization and Mapping" Course Project
ACSC
Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
ros_21_tutorials
《古月 · ROS入门21讲》课件&源码
oh_my_loam
ROS-free implementation of LOAM
SLAM-BOOK
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。
range-mcl
Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps
ndt_mapping
Baidu apollo offline mapping tool
LidarRoadBoundaryDetection
An speed and accuracy tradeoff method for LiDAR-based road boundary detection method in structured environments
lidar_imu_calib
automatic calibration of 3D lidar and IMU extrinsics
depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
leetcode-master
LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀