FAST-LIVO2
- Software
- Navigation and mapping
- Library
A LiDAR-inertial-visual odometry and mapping system for real-time 3D reconstruction and robot localization, aimed at severely degraded environments.
Made by MaRS Lab, The University of Hong Kong, Hong Kong SAR China (checked on github.com/hku-mars (opens in a new tab)).
Source on GitHub: github.com/hku-mars/FAST-LIVO2 (opens in a new tab). Facts read at commit 0d2c034 (opens in a new tab).
Licenses
- Code
- GPL-2.0-only (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (GPL-2.0-only) at commit 0d2c034 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
Copyleft: Modified source must be published.
What it does
- Fuses LiDAR, inertial and visual data for localization and mapping.
- Designed for real-time 3D reconstruction and onboard robotic localization.
- Targets environments where localization is severely degraded.
- Includes a launch example for mapping with an Avia LiDAR and a rosbag dataset.
- Recommends the FAST-Calib toolkit for LiDAR-camera extrinsic calibration.
Written by Robotheca from the project's README (opens in a new tab) at commit 0d2c034.
Getting started
- Difficulty
- Advanced
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Maintained: a commit in the last 12 months
- Newest commit
- 8 Mar 2026 on main
- Latest release
- None published on GitHub
Checked on GitHub on 16 Oct 2026.
Links
Robots on Robotheca that use it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.