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 561–570 of 572 papers

TitleStatusHype
Visual-Inertial Monocular SLAM with Map ReuseCode0
Spatiotemporal Articulated Models for Dynamic SLAM—0
Volume-based Semantic Labeling with Signed Distance Functions—0
Degenerate Motions in Multicamera Cluster SLAM with Non-overlapping Fields of View—0
Scalable Structure From Motion for Densely Sampled Videos—0
Robust Large Scale Monocular Visual SLAM—0
Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection—0
Appearance-based indoor localization: A comparison of patch descriptor performance—0
ORB-SLAM: a Versatile and Accurate Monocular SLAM SystemCode0
Simultaneous Localization, Mapping, and Manipulation for Unsupervised Object Discovery—0
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