《自动驾驶中的SLAM技术》对应开源代码

A Robust LiDAR-Inertial Odometry for Livox LiDAR

IESKF-LIO reference to fast_lio1.0(参考fast-lio早期版本，复现的fast-lio2)

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

Fast radius neighbor search with an Octree (ICRA 2015)

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

Provides ROS integration for Cartographer.

Point Cloud Library (PCL)

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

ROS human computer interface based on Qt5(基于Qt5的ROS人机交互界面)