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 441–450 of 572 papers

TitleStatusHype
Deep-Learning-Based Indoor Human Following of Mobile Robot Using Color Feature—0
Fast Geometric Surface based Segmentation of Point Cloud from Lidar Data—0
GPO: Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization—0
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth PredictionCode0
FLIVVER: Fly Lobula Inspired Visual Velocity Estimation & Ranging—0
Removing Dynamic Objects for Static Scene Reconstruction using Light Fields—0
Dynamic Reconstruction of Deformable Soft-tissue with Stereo Scope in Minimal Invasive Surgery—0
Majorization Minimization Methods for Distributed Pose Graph Optimization with Convergence Guarantees—0
Keyfilter-Aware Real-Time UAV Object TrackingCode0
StereoNeuroBayesSLAM: A Neurobiologically Inspired Stereo Visual SLAM System Based on Direct Sparse Method—0
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