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A simple location system based on a priori map, which is based on the lio-sam framework
A ROS package tool to analyze the IMU performance.
Lidar-IMU Localization System with Prior Map Constraint and Lio Constraint
[IROS 2021] CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System
这个项目有关激光测量距离定位，用于纠正车辆的姿态。 主要包含以下内容： 基于激光雷达的距离测量 基于激光雷达的姿态估计 基于激光雷达的距离定位 涉及对激光雷达数据的简单处理处理、滤波、特征提取、RANSAC算法拟合直线等内容，并通过可视化的方式展示结果。
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
A simple localization framework that can re-localize in built maps based on FAST-LIO.
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
IESKF-LIO reference to fast_lio1.0(参考fast-lio早期版本，复现的fast-lio2)
A simple system that can relocalize a robot on a built map is developed in this system. The system is based on LIO-SAM.
A simple relocalization version of LIO-SAM using Scan Context
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on ScanContext, Quatro, and Nano-GICP
A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point cloud hash map (inspired by iVox of Faster-LIO) on GPU is used to accelerate 5-neighbour KNN search.
这是一个无人机四轴项项目，使用stm32 作为主控，使用固件库编程，移植ucos ii 操作系统，最终实现飞机可以起飞的完整项目