SOTAVerified

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 461–470 of 572 papers

TitleStatusHype
Real-time 3D Reconstruction on Construction Site using Visual SLAM and UAV—0
Real-time dense 3D Reconstruction from monocular video data captured by low-cost UAVs—0
Real-time Indoor Scene Reconstruction with RGBD and Inertia Input—0
Real-Time Monocular Object-Model Aware Sparse SLAM—0
Real-time Nonrigid Mosaicking of Laparoscopy Images—0
Reconfigurable Holographic Surface Aided Wireless Simultaneous Localization and Mapping—0
Reflex-Based Open-Vocabulary Navigation without Prior Knowledge Using Omnidirectional Camera and Multiple Vision-Language Models—0
Removing Dynamic Objects for Static Scene Reconstruction using Light Fields—0
Resilient Simultaneous Localization and Mapping Fusing Ultra Wide Band Range Measurements and Visual Odometry—0
Revisiting visual-inertial structure from motion for odometry and SLAM initialization—0
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