GitHub repository
A robust LiDAR odometry pipeline that works out-of-the-box without parameter tuning for accurate robot localization.
What is GitHub repository?
KISS-ICP is a LiDAR odometry pipeline that estimates a robot's position and orientation in real-time using 3D point cloud data from LiDAR sensors. It solves the problem of accurate robot localization in unknown environments without requiring complex parameter tuning. The system implements a robust point-to-point ICP algorithm that works reliably across different datasets and conditions.
Robotics researchers, autonomous vehicle developers, and engineers building LiDAR-based navigation systems for drones, robots, or mobile platforms. It's particularly valuable for those needing reliable odometry without extensive calibration.
Developers choose KISS-ICP for its simplicity and reliability—it works out-of-the-box without parameter tuning while maintaining accuracy comparable to more complex systems. The clean implementation and ROS 2 integration make it easy to deploy in real robotic applications.
Overview
A LiDAR odometry pipeline that just works
Use Cases
Best For
- Adding LiDAR-based localization to autonomous robots
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