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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 131–140 of 572 papers

TitleStatusHype
A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR DescriptorsCode0
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth PredictionCode0
Photometric LiDAR and RGB-D Bundle AdjustmentCode0
P2U-SLAM: A Monocular Wide-FoV SLAM System Based on Point Uncertainty and Pose UncertaintyCode0
AirLoop: Lifelong Loop Closure DetectionCode0
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAMCode0
Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and MappingCode0
ORB-SLAM: a Versatile and Accurate Monocular SLAM SystemCode0
Neural SLAM: Learning to Explore with External MemoryCode0
Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAMCode0
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