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camodocal

CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry

cartographer_ros

Provides ROS integration for Cartographer.

ceressolver_pnptest

Test program to learn ceres

creating-2d-laser-slam-from-scratch

从零开始创建二维激光SLAM

eucledianclustering

Implementation of eucledian clustering using KdTree

fisheye_calibration

鱼眼摄像头畸变校正代码。内含两个版本，分别基于opencv2和opencv3，支持图片矫正和USB摄像头实时畸变矫正。

floam

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021

hdl_graph_slam

3D LIDAR-based Graph SLAM

ikd-tree

This repository provides implementation of an incremental k-d tree for robotic applications.

imu_gps_localization

Using error-state Kalman filter to fuse the IMU and GPS data for localization.

invariant-ekf

C++ library to implement invariant extended Kalman filtering for aided inertial navigation.

kdtree

Simple C++ KD-Tree implementation

learngit

This is a project for practicing Git

lego-livox

lidar_camera_calibration

based on intensity

lidar_imu_calib

automatic calibration of 3D lidar and IMU extrinsics

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.

livox_camera_lidar_calibration

Calibrate the extrinsic parameters between Livox LiDAR and camera

loam_livox

A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR

msf_localization

achieve localization by multi-sensor fusion such as GPS,IMU,Lidar

quick-kdtree-with-form-of-array

自编写kdtree算法，支持多维数据的建树及k临近搜索，比pcl的速度要快，多核并行可成倍的加速

remove_ros_vins

remove ROS from VINS

sensor-fusion

Sensor Fusion for Localization & Mapping

sensor-fusion-for-localization-and-mapping

深蓝学院 多传感器定位融合第四期 学习笔记

smartcar-pcd-map-tools

Tools for self-driving car

velo2cam_calibration

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package.

vins-fusion-leanrning

VINS-FUSION中文注释版.目前网络上对于VINS-mono的代码已经有很多讲解和注释了，但是对于VINS-FUSION（以下简称VF）的注释还是很少的，刚好本人最近也正在学习VIO的相关知识，所以对VF按照程序执行顺序进行了十分详细的注释，同时为了和大家进行交流学习，所以把相关注释代码进行开源。因水平有限，错误肯定不少，还请各位大佬们指正。

vins-fusion-ros2

ROS2 version of VINS-Fusion

vins-fusion-understood

完全可理解的VINS-Fusion：1.全量靠谱注释、2.代码风格轻重构、3.代码即文档、4.忠实于原代码；5.ROS解耦、6.状态量可视化、7.日志系统。