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Simultaneous Localization and Mapping

Simultaneous localization and mapping (SLAM) is the task of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.

( Image credit: ORB-SLAM2 )

Papers

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Showing 361–370 of 572 papers

TitleStatusHype
Dy3DGS-SLAM: Monocular 3D Gaussian Splatting SLAM for Dynamic Environments—0
DynaGSLAM: Real-Time Gaussian-Splatting SLAM for Online Rendering, Tracking, Motion Predictions of Moving Objects in Dynamic Scenes—0
Dynamic Reconstruction of Deformable Soft-tissue with Stereo Scope in Minimal Invasive Surgery—0
Dynamic semantic VSLAM with known and unknown objects—0
Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera—0
EdgePoint2: Compact Descriptors for Superior Efficiency and Accuracy—0
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping—0
Efficient Placard Discovery for Semantic Mapping During Frontier Exploration—0
Egocentric Spatial Memory Network—0
EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors—0
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