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 251–260 of 572 papers

TitleStatusHype
Investigation of the Challenges of Underwater-Visual-Monocular-SLAM—0
3D Scene Geometry Estimation from 360^ Imagery: A Survey—0
Iterated Posterior Linearization PMB Filter for 5G SLAM—0
IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping—0
Enhancing Feature Tracking Reliability for Visual Navigation using Real-Time Safety Filter—0
ENG: End-to-end Neural Geometry for Robust Depth and Pose Estimation using CNNs—0
Energy-Efficient SLAM via Joint Design of Sensing, Communication, and Exploration Speed—0
Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect—0
EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting—0
EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting—0
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