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 511–520 of 572 papers

TitleStatusHype
SLAM for Multiple Extended Targets using 5G Signal—0
SLAM for Visually Impaired People: a Survey—0
A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR DescriptorsCode0
Kernel learning for visual perceptionCode0
SLAM with Objects using a Nonparametric Pose GraphCode0
Solving Short-Term Relocalization Problems In Monocular Keyframe Visual SLAM Using Spatial And Semantic DataCode0
Photometric LiDAR and RGB-D Bundle AdjustmentCode0
gradSLAM: Automagically differentiable SLAMCode0
Network Uncertainty Informed Semantic Feature Selection for Visual SLAMCode0
DERD-Net: Learning Depth from Event-based Ray DensitiesCode0
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