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 271–280 of 572 papers

TitleStatusHype
Fast Loop Closure Detection via Binary Content—0
Cooperative mmWave PHD-SLAM with Moving Scatterers—0
Fast Geometric Surface based Segmentation of Point Cloud from Lidar Data—0
Faster than Fast: Accelerating Oriented FAST Feature Detection on Low-end Embedded GPUs—0
Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection—0
A Survey of Structure from Motion—0
Fast Adaptation Nonlinear Observer for SLAM—0
Extracting Zero-shot Common Sense from Large Language Models for Robot 3D Scene Understanding—0
A Solution for Crime Scene Reconstruction using Time-of-Flight Cameras—0
Extended FastSLAM Using Cellular Multipath Component Delays and Angular Information—0
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