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 501–510 of 572 papers

TitleStatusHype
Semi-Semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments—0
Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot DeploymentCode0
Dense Object Reconstruction from RGBD Images with Embedded Deep Shape Representations—0
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth PredictionCode0
Real-Time Monocular Object-Model Aware Sparse SLAM—0
Simultaneous Localization and Layout Model Selection in Manhattan Worlds—0
Monocular Object and Plane SLAM in Structured Environments—0
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset—0
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM—0
Simultaneous Localization And Mapping with depth Prediction using Capsule Networks for UAVs—0
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