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 451–460 of 572 papers

TitleStatusHype
Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation—0
AQUALOC: An Underwater Dataset for Visual-Inertial-Pressure Localization—0
Distributed and Consistent Multi-Image Feature Matching via QuickMatch—0
gradSLAM: Automagically differentiable SLAMCode0
Bayesian Integration of Multi-resolutional Grid Codes for Spatial Cognition—0
Experience Dependent Formation of Global Coherent Representation of Environment by Grid Cells and Head Direction Cells—0
Real-Time 3D Reconstruction of Colonoscopic Surfaces for Determining Missing Regions—0
Measuring robustness of Visual SLAM—0
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and MappingCode1
SLAM-based Integrity Monitoring Using GPS and Fish-eye Camera—0
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