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The Slamtec Aurora S 3D AI-VSLAM Spatial Perception System is an advanced AI spatial perception solution from SLAMTEC’s Insight Series. It combines vision, inertial navigation, and proprietary AI-VSLAM technology to deliver precise 3D perception, mapping, and semantic understanding for robots and intelligent agents. This system is engineered for challenging environments and applications, providing real-time, high-quality spatial perception outputs without requiring additional computational resources.
The system features built-in computing algorithms that directly output mapping and localization results. It includes a 180 fisheye color camera and a 120 ultra-wide-angle stereo depth vision, enabling pixel-level semantic recognition of over a hundred objects. The multi-modal fusion capability facilitates semantic mapping, while the one-click dense 3D reconstruction supports 3DGS solutions. The Aurora S seamlessly integrates with VLA/VLN training systems and is an open platform that supports various SDKs, including C++, ROS1/ROS2, and Python.
Its compact, fully integrated design incorporates real-time loop detection and error correction. The binocular dense depth sensing system delivers wide-angle point clouds at 15 frames per second. The high-performance real-time semantic segmentation and object recognition engine supports the recognition of 18 outdoor scene categories and over 80 indoor object types. The system offers rich interfaces and expandability, supporting a DC 924V power supply or USB Type-C PD3.0.
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