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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 121–130 of 572 papers

TitleStatusHype
GEM: Online Globally consistent dense elevation mapping for unstructured terrainCode1
iSLAM: Imperative SLAMCode1
Autonomous Navigation System from Simultaneous Localization and MappingCode1
Self-Supervised Domain Calibration and Uncertainty Estimation for Place RecognitionCode1
Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture EnvironmentsCode1
Unsupervised Scale-consistent Depth Learning from VideoCode1
Online Visual Place Recognition via Saliency Re-identificationCode1
DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance FieldsCode1
Design, Implementation and Evaluation of an External Pose-Tracking System for Underwater Cameras—0
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM—0
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