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 341–350 of 572 papers

TitleStatusHype
Statistical Outlier Identification in Multi-robot Visual SLAM using Expectation Maximization—0
StereoNeuroBayesSLAM: A Neurobiologically Inspired Stereo Visual SLAM System Based on Direct Sparse Method—0
Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching using an Attention Graph Neural Network—0
Stochastic Observer for SLAM on the Lie Group—0
Structure Aware SLAM using Quadrics and Planes—0
Superquadric Object Representation for Optimization-based Semantic SLAM—0
SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition—0
SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words—0
TagSLAM: Robust SLAM with Fiducial Markers—0
Task Space Control of Robot Manipulators based on Visual SLAM—0
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