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 391–400 of 572 papers

TitleStatusHype
3D Reconstruction of the Human Colon from Capsule Endoscope Video—0
3D Scene Geometry Estimation from 360^ Imagery: A Survey—0
3D Scene Parsing via Class-Wise Adaptation—0
3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments—0
A Belief Propagation Algorithm for Multipath-based SLAM with Multiple Map Features: A mmWave MIMO Application—0
A Belief Propagation Approach for Direct Multipath-Based SLAM—0
A Collaborative Visual SLAM Framework for Service Robots—0
A comparative evaluation of learned feature descriptors on hybrid monocular visual SLAM methods—0
A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM—0
AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments—0
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