rko_lio
A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling
Run a system that helps robots understand their position and movement using data from LiDAR and inertial sensors.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeA Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling
rko_lio has 607 stars on GitHub. It has been forked 63 times. rko_lio is written mainly in C++. It has been in active development since 2025. rko_lio is available under the MIT license. Its main topics are imu, inertial, lidar, lidar-inertial-odometry.
What is rko_lio?
A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling
Is rko_lio open source?
rko_lio is an open-source project. It is released under the MIT license.
Is rko_lio free?
Yes. rko_lio is free and open source — you can use, modify and self-host it.
What license does rko_lio use?
rko_lio is available under the MIT license.
What language is rko_lio written in?
rko_lio is written mainly in C++.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/prbonn-rko-lio.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.