octomap
An efficient probabilistic 3D mapping framework based on octrees for robotics and computer vision applications.
What is octomap?
OctoMap is an open-source probabilistic 3D mapping framework based on octrees, designed for creating and updating volumetric environment maps from sensor data. It efficiently handles uncertainty in measurements and supports dynamic environments, making it suitable for robotics and autonomous systems.
Robotics researchers, computer vision engineers, and developers working on autonomous navigation, SLAM (Simultaneous Localization and Mapping), and 3D environment modeling.
OctoMap offers a memory-efficient, probabilistic approach to 3D mapping with real-time update capabilities, backed by a well-established open-source community and extensive documentation.
Overview
An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
Use Cases
Best For
- Building 3D maps for robot navigation and obstacle avoidance
- Implementing SLAM systems with probabilistic occupancy grids
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