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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 171–180 of 572 papers

TitleStatusHype
SP-SLAM: Neural Real-Time Dense SLAM With Scene Priors—0
Scaffold-SLAM: Structured 3D Gaussians for Simultaneous Localization and Photorealistic Mapping—0
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAMCode0
Energy-Efficient SLAM via Joint Design of Sensing, Communication, and Exploration Speed—0
Dynamic semantic VSLAM with known and unknown objects—0
NFL-BA: Improving Endoscopic SLAM with Near-Field Light Bundle Adjustment—0
Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera—0
Static-Dynamic Class-level Perception Consistency in Video Semantic Segmentation—0
Visual SLAMMOT Considering Multiple Motion Models—0
Near-Range Environmental Perception for Inland Waterway Vessels: A Comparative Study of LiDAR and Automotive FMCW RADAR Sensors—0
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