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 351–360 of 572 papers

TitleStatusHype
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping—0
Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization—0
Iterated Posterior Linearization PMB Filter for 5G SLAM—0
A Scan-to-Locality Map Strategy for 2D LiDAR and RGB-D Data FusionCode0
Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network—0
TomoSLAM: factor graph optimization for rotation angle refinement in microtomography—0
Online Mutual Adaptation of Deep Depth Prediction and Visual SLAM—0
Hierarchical Segment-based Optimization for SLAM—0
Efficient Placard Discovery for Semantic Mapping During Frontier Exploration—0
Automatic Impact-sounding Acoustic Inspection of Concrete Structure—0
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