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 191–200 of 572 papers

TitleStatusHype
Exploring the potential of collaborative UAV 3D mapping in Kenyan savanna for wildlife research—0
Construction Inspection through Spatial Database—0
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition—0
Exploiting Diffuse Multipath in 5G SLAM—0
Compositional Scalable Object SLAM—0
A SLAM Map Restoration Algorithm Based on Submaps and an Undirected Connected Graph—0
From SLAM to Situational Awareness: Challenges and Survey—0
FR-SLAM: A SLAM Improvement Method Based on Floor Plan Registration—0
Robust Second-order LiDAR Bundle Adjustment Algorithm Using Mean Squared Group Metric—0
Experience Dependent Formation of Global Coherent Representation of Environment by Grid Cells and Head Direction Cells—0
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