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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 541–550 of 572 papers

TitleStatusHype
InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop ClosureCode0
Robust Monocular SLAM for Egocentric Videos—0
Original Loop-closure Detection Algorithm for Monocular vSLAM—0
Monocular Visual Odometry for an Unmanned Sea-Surface Vehicle—0
Neural SLAM: Learning to Explore with External MemoryCode0
Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple ObjectsCode0
Magnetic-Visual Sensor Fusion based Medical SLAM for Endoscopic Capsule Robot—0
A Non-Rigid Map Fusion-Based RGB-Depth SLAM Method for Endoscopic Capsule Robots—0
Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect—0
SLAM with Objects using a Nonparametric Pose GraphCode0
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