Kimera
A C++ library for real-time metric-semantic SLAM, building semantically annotated 3D meshes from camera and IMU data.
What is Kimera?
Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping (SLAM). It uses camera images and inertial data to build semantically annotated 3D meshes of environments, enabling robots to perceive both geometry and object semantics. The library is modular, ROS-enabled, and designed to run on CPUs.
Robotics researchers, autonomous systems engineers, and computer vision developers working on SLAM, spatial perception, or semantic mapping for robots, drones, or augmented reality applications.
Developers choose Kimera for its real-time metric-semantic capabilities, modular design, and CPU-only operation, providing an open-source alternative to proprietary SLAM systems with integrated semantic understanding and ROS compatibility.
Overview
Index repo for Kimera code
Use Cases
Best For
- Building real-time semantic mapping systems for autonomous robots
- Visual-inertial odometry (VIO) pipelines requiring high accuracy
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