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 221–230 of 572 papers

TitleStatusHype
Outlier-Robust Long-Term Robotic Mapping Leveraging Ground Segmentation—0
MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping with Depth Smooth Regularization—0
Multipath-based SLAM with Cooperation and Map Fusion in MIMO Systems—0
S3-SLAM: Sparse Tri-plane Encoding for Neural Implicit SLAM—0
DF-SLAM: Dictionary Factors Representation for High-Fidelity Neural Implicit Dense Visual SLAM SystemCode0
SLAM for Indoor Mapping of Wide Area Construction Environments—0
Neural Radiance Field in Autonomous Driving: A Survey—0
MIMO Multipath-based SLAM for Non-Ideal Reflective Surfaces—0
On fusing active and passive acoustic sensing for simultaneous localization and mapping—0
Robust Snapshot Radio SLAM—0
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