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 511–520 of 572 papers

TitleStatusHype
Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation—0
Experience Dependent Formation of Global Coherent Representation of Environment by Grid Cells and Head Direction Cells—0
Robust Second-order LiDAR Bundle Adjustment Algorithm Using Mean Squared Group Metric—0
Exploiting Diffuse Multipath in 5G SLAM—0
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition—0
Exploring the potential of collaborative UAV 3D mapping in Kenyan savanna for wildlife research—0
Extended FastSLAM Using Cellular Multipath Component Delays and Angular Information—0
Extracting Zero-shot Common Sense from Large Language Models for Robot 3D Scene Understanding—0
Fast Adaptation Nonlinear Observer for SLAM—0
Faster than Fast: Accelerating Oriented FAST Feature Detection on Low-end Embedded GPUs—0
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