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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 71–80 of 572 papers

TitleStatusHype
Incremental Visual-Inertial 3D Mesh Generation with Structural RegularitiesCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical ApplicationsCode1
Fast and Incremental Loop Closure Detection Using Proximity GraphsCode1
Fast and Incremental Loop Closure Detection with Deep Features and Proximity GraphsCode1
Event-based Simultaneous Localization and Mapping: A Comprehensive SurveyCode1
EndoMapper dataset of complete calibrated endoscopy proceduresCode1
Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic ReconstructionCode1
BDIS-SLAM: A lightweight CPU-based dense stereo SLAM for surgeryCode1
DSP-SLAM: Object Oriented SLAM with Deep Shape PriorsCode1
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