MR-SLAM combines passthrough mixed reality with multi-robot SLAM on ROS 2 to let one operator supervise mapping in situ, reporting 8.83 Hz scans, 17.9 m² coverage, and 94.7% occupancy consistency in simulated sessions.
Orb-slam2: an open-source slam system for monocular, stereo and rgb-d cameras
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UNVERDICTED 2representative citing papers
RGB-D visual odometry method performs spatial motion segmentation via grid-based scene flow clustering and temporal tracking with a dual-mode rigid motion model to estimate camera pose from static scene parts in dynamic environments.
citing papers explorer
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MR-SLAM: Immersive Spatial Supervision for Multi-Robot Mapping via Mixed Reality
MR-SLAM combines passthrough mixed reality with multi-robot SLAM on ROS 2 to let one operator supervise mapping in situ, reporting 8.83 Hz scans, 17.9 m² coverage, and 94.7% occupancy consistency in simulated sessions.
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Robust Real-time RGB-D Visual Odometry in Dynamic Environments via Rigid Motion Model
RGB-D visual odometry method performs spatial motion segmentation via grid-based scene flow clustering and temporal tracking with a dual-mode rigid motion model to estimate camera pose from static scene parts in dynamic environments.