- hku-mars FAST_LIO - GitHub
Since no requirements for feature extraction, FAST-LIO2 can support many types of LiDAR including spinning (Velodyne, Ouster) and solid-state (Livox Avia, Horizon, MID-70) LiDARs, and can be easily extended to support more LiDARs
- 【开源】SLAM技术之FAST_LIO和FAST_LIO2算法复现 - 知乎
FAST_LIO2 提出了一个快速、强大且多功能的 LiDAR 惯性里程计框架。 FASTLIO2 基于高效的紧密耦合迭代卡尔曼滤波器构建，具有两个关键的新颖性，可实现快速、稳健和准确的 LiDAR 导航（和映射）。
- 【FAST-LIO2】FAST-LIO2论文详解 - CSDN博客
本文介绍了FAST-LIO2：一种快速、鲁棒的、通用的激光雷达惯性里程计框架，FASTLIO2以高效紧耦合的方式迭代卡尔曼滤波器为基础，具有两个关键的新颖之处，可实现快速、稳健和精确的激光雷达的建图和导航。
- FAST-LIO2: Fast Direct LiDAR-Inertial Odometry - IEEE Xplore
FAST-LIO2 achieves consistently higher accuracy at a much lower computation load than other state-of-the-art LiDAR-inertial navigation systems Various real-world experiments on solid-state LiDARs with small field of view are also conducted
- [2107. 06829] FAST-LIO2: Fast Direct LiDAR-inertial Odometry
This paper presents FAST-LIO2: a fast, robust, and versatile LiDAR-inertial odometry framework Building on a highly efficient tightly-coupled iterated Kalman filter, FAST-LIO2 has two key novelties that allow fast, robust, and accurate LiDAR navigation (and mapping)
- GitHub - samsdolphin FAST_LIO2: A computationally efficient and robust . . .
Since no requirements for feature extraction, FAST-LIO2 can support many types of LiDAR including spinning (Velodyne, Ouster) and solid-state (Livox Avia, Horizon, MID-70) LiDARs, and can be easily extended to support more LiDARs
- 雷达惯性里程计论文阅读笔记—FAST-LIO2 （二） - 知乎
本文介绍了 FAST-LIO2：一种快速、稳健且通用的 LiDAR 惯性里程计框架。 FASTLIO2 建立在高效紧耦合迭代 卡尔曼滤波器 的基础上，具有两个关键创新，可实现快速、稳健和准确的 LiDAR 导航（和映射）。
- FAST-LIO 部署（二）——脚本解析和ROS2升级-CSDN博客
总结：由于官方 Fast-LIO2 不支持 ROS2，我们使用第三方移植版本。 以上步骤是一个通用的指导，具体安装时请参考所使用仓库的README文件。 请注意：以上步骤可能会因为仓库的更新而发生变化，请以实际仓库的说明为准。
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