StaticMapping
A full LiDAR SLAM system for static environment mapping using LiDAR with optional GPS, IMU, and odometry support.
What is StaticMapping?
StaticMapping is an open-source LiDAR SLAM system that constructs maps of static environments using LiDAR sensor data. It solves the problem of simultaneous localization and mapping for robots and autonomous vehicles by processing point clouds to create accurate spatial representations, with optional support from GPS, IMU, and odometry sensors.
Robotics researchers, autonomous vehicle developers, and engineers working on SLAM, perception, and mapping systems who need a flexible, LiDAR-focused solution for static environment reconstruction.
Developers choose StaticMapping for its comprehensive sensor fusion capabilities, modular architecture allowing customization of SLAM components, and strong performance on real-world datasets like KITTI, all within an open-source framework.
Overview
Use LiDAR to map the static world
Use Cases
Best For
- Creating high-definition maps for autonomous driving applications
- Indoor robotic mapping in structured environments like garages
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