rko-lio 0.2.0

A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling

RKO-LIO

Robust LiDAR-Inertial Odometry Without Sensor-Specific Modelling

Four different platforms, four different environments, one odometry system

Quick Start

Assuming you have a rosbag (ros1/ros2) which contains a TF tree, you can run RKO-LIO through

pip install rko_lio rosbags rerun-sdk
# data path should be a directory with *.bag files (ROS1) or a metadata.yaml (ROS2)
rko_lio -v /path/to/data

Why pip install those three packages?

• rko_lio -> the odometry package
• rosbags -> required for the rosbag dataloader. Both ros1 and ros2 bags are supported!
• rerun-sdk -> required for the optional visualizer (-v flag)

Check further options for the CLI through rko_lio --help.

More details are available in the Python usage docs.

ROS

Supported distros: Humble, Jazzy, Kilted, Rolling.

sudo apt install ros-$ROS_DISTRO-rko-lio

Or if you'd like to build from source, clone the repo into your colcon workspace and

rosdep install --from-paths src --ignore-src -r -y
colcon build --packages-select rko_lio  # --symlink-install --event-handlers console_direct+

In case you cannot system install the necessary dependencies through rosdep, you can also build the dependencies while building RKO-LIO

colcon build --packages-select rko_lio --cmake-args -DRKO_LIO_FETCH_CONTENT_DEPS=ON

A launch file is provided:

ros2 launch rko_lio odometry.launch.py imu_topic:=<topic> lidar_topic:=<topic> base_frame:=base_link

The three parameters above are the minimum you need to specify for the launch file.

Check further launch configuration options through ros2 launch rko_lio odometry.launch.py -s

More details are available in the ROS usage docs.

License

This project is free software made available under the MIT license. For details, see the LICENSE file.

Citation

If you found this work useful, please consider leaving a star :star: on this repository and citing our paper:

@article{malladi2025arxiv,
  author      = {M.V.R. Malladi and T. Guadagnino and L. Lobefaro and C. Stachniss},
  title       = {A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modeling},
  journal     = {arXiv preprint},
  year        = {2025},
  volume      = {arXiv:2509.06593},
  url         = {https://arxiv.org/pdf/2509.06593},
}

RA-L Submission

You can check out the branch ral_submission for the version of the code used for submission to RA-L. Please note that that branch is meant to be an as-is reproduction of the code used during submission and is not supported. The master and release versions are vastly improved, supported, and are the recommended way to use this system.

Acknowledgements

KISS-ICP, Kinematic-ICP, Bonxai, PlotJuggler, Rerun

This package is inspired by and would not be possible without the work of KISS-ICP and Kinematic-ICP. Additionally, we use and rely heavily on, either in the package itself or during development, Bonxai, PlotJuggler, Rerun, and of course ROS itself.

A special mention goes out to Rerun for providing an extremely easy-to-use but highly performative visualization system. Without this, I probably would not have made a python interface at all.