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Augmented Reality requires accurate camera pose estimates to correctly render virtual graphics into the real world. In unknown or ... We are pleased to announce the open-source release of OKVIS: Open In this recent T-RO paper, the authors introduce OKVIS2-X, a real-time multi-sensor A stereo-visual-inertial Simultaneous Localization and Mapping ( Enhancing SLAM Keyframe Selection with an Efficient ConvNet for Semantic Analysis
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OKVIS: Open Keyframe-based Visual-Inertial SLAM
OKVIS2-X: Open Keyframe-based Visual-Inertial SLAM Configurable with Dense Depth or LiDAR, and GNSS
Keyframe-Based Visual-Inertial SLAM Using Nonlinear Optimization
A Minimal Subset Approach for Informed Keyframe Sampling in Large-Scale SLAM [RA-L25/ICRA26]
AIM-SLAM: Dense Monocular SLAM via Multi-View Keyframe Prioritization with Foundation Model
keyframe consistency when moving rgb-d sensor by hand
visual slam test (keyframe, marker)
Enhancing SLAM Keyframe Selection with an Efficient ConvNet for Semantic Analysis
AR test using Kinect based keyframe slam
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Last Updated: June 14, 2026
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![A Minimal Subset Approach for Informed Keyframe Sampling in Large-Scale SLAM [RA-L25/ICRA26]](https://i0.wp.com/i.ytimg.com/vi/70CcaRCL-7g/mqdefault.jpg?resize=320,180)
