heshixiong's repositories
slam_in_autonomous_driving
《自动驾驶中的SLAM技术》对应开源代码
pypose
A library for differentiable robotics.
Cpp-Primer-Plus-6th
《C++ Primer Plus 第6版(中文版)》原书代码、习题答案和个人笔记,仅供学习和交流。
Simple-LIO-SAM
Code for simplified LIO-SAM
the-algorithm
Source code for Twitter's Recommendation Algorithm
FAST_LIO_SAM
Front_end : fastlio2 Back_end : lio_sam
Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。
LIO-Livox
A Robust LiDAR-Inertial Odometry for Livox LiDAR
livox_camera_calib
This repository is used for automatic calibration between high resolution LiDAR and camera in targetless scenes.
pcap-to-bag
Tool to convert ouster lidar sensor pcap files into rosbag files for use in ouster_example/ouster_ros
S-FAST_LIO
A simplified implementation of FAST_LIO (with Chinese note)
FAST_LIO_SLAM
LiDAR SLAM = FAST-LIO + Scan Context
overlap_localization
chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.
TEASER-plusplus
A fast and robust point cloud registration library
ikd-Tree
This repository provides implementation of an incremental k-d tree for robotic applications.
30dayMakeCppServer
30天自制C++服务器,包含教程和源代码
interactive_slam
Interactive Map Correction for 3D Graph SLAM
FAST-LIO-NON-ROS
ROS independent modification of FAST-LIO
LiDAR_IMU_Init
[IROS2022] Robust Real-time LiDAR-inertial Initialization Method.
ros_21_tutorials
《古月 · ROS入门21讲》课件&源码
HesaiLidar_General_ROS
ROS driver for PandarXT PandarQT Pandar64 Pandar40P Pandar40M Pandar20A Pandar20B
3D-PointCloud-Denoising
A paper list of 3D Point Cloud Denoising
eskf
误差状态卡尔曼滤波器(Error State Kalman Filter, ESKF)
awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
LIMO-Velo
A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs
MULTI_LIDARs_CALIBRATE
A Simple Multi-Livox External Parameter Calibration Method
Multiple_Lidar_Calibration
The code for calibration between lidars. (Chinese Version)
DWD_sensor_fusion
Lidar, camera, Radar multi-sensor fusion and Dynamic Weight Distribution (DWD) algorithm (ROS) . This project is able to fusion the targets of lidar, radar and camera, and assign them dynamic weights according to the Kalman filter effect. And make it running in ROS.