# Super-LIO **Repository Path**: chluck2008/Super-LIO ## Basic Information - **Project Name**: Super-LIO - **Description**: No description available - **Primary Language**: Unknown - **License**: GPL-3.0 - **Default Branch**: ros2 - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 1 - **Created**: 2026-05-16 - **Last Updated**: 2026-05-16 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

⚡Super-LIO

Super-LIO: A Robust and Efficient LiDAR-Inertial Odometry System with a Compact Mapping Strategy

This work has been accepted to IEEE Robotics and Automation Letters (RA-L 2026).


[![Code](https://img.shields.io/badge/GitHub-181717?style=flat-square&logo=github&logoWidth=16)](https://github.com/Liansheng-Wang/Super-LIO.git) [![arXiv](https://img.shields.io/badge/arXiv-blue?logo=arxiv&color=%23B31B1B)](https://arxiv.org/abs/2509.05723) [![IEEE](https://img.shields.io/badge/RAL2026-004088.svg)](https://ieeexplore.ieee.org/document/11347459) [![Bilibili](https://img.shields.io/badge/Bilibili-00A1D6?style=flat-square&logo=bilibili&logoColor=white&logoWidth=16)](https://www.bilibili.com/video/BV11wBeBYEp6) [![YouTube](https://img.shields.io/badge/YouTube-FF0000?style=flat-square&logo=youtube&logoColor=white&logoWidth=16)](https://youtu.be/m9-hl8s5DDw)

Switch to ROS1    ROS2 Active    X86 and ARM Support

## Overview

**Key Features: Efficient · Robust · Cross-Platform Compatible · Supports Both ROS1/ROS2 Versions** Super-LIO is a robust and efficient LiDAR–Inertial Odometry (LIO) system designed for real-time and large-scale autonomous navigation. It introduces a compact and structured mapping strategy that enables predictable correspondence search and stable state estimation. The system is validated through extensive real-world experiments and comparisons with state-of-the-art methods, which demonstrates that Super-LIO not only achieves **excellent accuracy** but also maintains **lower resource consumption** and realizes a nearly **1.2–4× higher real-time processing speed**⚡. **Contributors**: [Liansheng Wang](https://github.com/Liansheng-Wang), [Xinke Zhang](https://github.com/PSQzzzxk), [Chenhui Li](https://github.com/kermitLHH), [Dongjiao He](https://github.com/Joanna-HE), [Yihan pan](https://github.com/pyh3552), Jianjun Yi. ## Quickly Run **For ROS1 Users**: Please switch to the **ros1** branch and follow the instructions at [ros1 branch](https://github.com/Liansheng-Wang/Super-LIO/tree/ros1) ### Requirements Ubuntu 24(22).04 · C++20 · ROS Jazzy(Humble) · Eigen · PCL ### Dependencies glog · TBB ```bash sudo apt install libgoogle-glog-dev libtbb-dev ``` ### Build & Run ```bash git clone https://github.com/Liansheng-Wang/Super-LIO.git cd Super-LIO colcon build source install/setup.bash ros2 launch super_lio Livox_mid360.py ``` #### 🔁 Relocalization Mode Super-LIO supports relocalization using a pre-built map, allowing the system to resume localization from a saved map without restarting the mapping process. This mode is useful for long-term deployment, repeated missions, or recovery after tracking loss. Before running relocalization, please make sure that: - A map has been previously saved to disk. ```bash cd PATH_2_Super-LIO source install/setup.bash ros2 launch super_lio relocation.py ``` ## Datasets

Super-LIO is evaluated on multiple real-world datasets covering diverse environments, including indoor, outdoor, and large-scale scenes. > **TODO**: Dataset download links and detailed descriptions will be provided in the future. --- ## Publications If your like our projects, please cite us and support us with a star 🌟. We kindly recommend to cite [our paper](https://ieeexplore.ieee.org/document/11347459) if you find this library useful: ```latex @article{wang2026superlio, title = {Super-LIO: A Robust and Efficient LiDAR-Inertial Odometry System with a Compact Mapping Strategy}, author = {Wang, Liansheng and Zhang, Xinke and Li, Chenhui and He, Dongjiao and Pan, Yihan and Yi, Jianjun}, journal = {IEEE Robotics and Automation Letters}, year = {2026}, volume = {11}, number = {3}, pages = {2666--2673}, doi = {10.1109/LRA.2026.3653372} } ``` ## Update Logs
Click to expand Update Logs (click to collapse)
- 2026-01-04 - Separate ROS interface and algorithm. - Refactor SuperLIOReLoc to inherit from SuperLIO. - Code style aligned with ROS2 version. - 2026-01-04 - The main branch is renamed to ros1 - add ros2 branch - 2026-01-04 21:51 - release ROS2 version