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 61–70 of 572 papers

TitleStatusHype
GEM: Online Globally consistent dense elevation mapping for unstructured terrainCode1
Loosely-Coupled Semi-Direct Monocular SLAMCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic ReconstructionCode1
Fast and Incremental Loop Closure Detection Using Proximity GraphsCode1
Fast and Incremental Loop Closure Detection with Deep Features and Proximity GraphsCode1
AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty MinimizationCode1
Event-based Simultaneous Localization and Mapping: A Comprehensive SurveyCode1
General Place Recognition Survey: Towards the Real-world Autonomy AgeCode1
Embracing Dynamics: Dynamics-aware 4D Gaussian Splatting SLAMCode1
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