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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 551–560 of 572 papers

TitleStatusHype
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
Initialization of Monocular Visual Navigation for Autonomous Agents Using Modified Structure from Small Motion—0
InpaintFusion: Incremental RGB-D Inpainting for 3D Scenes—0
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset—0
Investigation of the Challenges of Underwater-Visual-Monocular-SLAM—0
Iterated Posterior Linearization PMB Filter for 5G SLAM—0
IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping—0
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