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 241–250 of 572 papers

TitleStatusHype
RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network—0
Indoor simultaneous localization and mapping based on fringe projection profilometry—0
Indoor SLAM Using a Foot-mounted IMU and the local Magnetic Field—0
Indoor Smartphone SLAM with Learned Echoic Location Features—0
Inertial Guided Uncertainty Estimation of Feature Correspondence in Visual-Inertial Odometry/SLAM—0
A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior—0
A Belief Propagation Algorithm for Multipath-based SLAM with Multiple Map Features: A mmWave MIMO Application—0
InpaintFusion: Incremental RGB-D Inpainting for 3D Scenes—0
Global Pose Estimation with an Attention-based Recurrent Network—0
GI-SLAM: Gaussian-Inertial SLAM—0
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