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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 131–140 of 572 papers

TitleStatusHype
DF-SLAM: Dictionary Factors Representation for High-Fidelity Neural Implicit Dense Visual SLAM SystemCode0
SLAM for Indoor Mapping of Wide Area Construction Environments—0
MIMO Multipath-based SLAM for Non-Ideal Reflective Surfaces—0
Neural Radiance Field in Autonomous Driving: A Survey—0
On fusing active and passive acoustic sensing for simultaneous localization and mapping—0
Robust Snapshot Radio SLAM—0
Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit FieldsCode1
Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic ReconstructionCode1
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
LOSS-SLAM: Lightweight Open-Set Semantic Simultaneous Localization and Mapping—0
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