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 81–90 of 572 papers

TitleStatusHype
EndoMapper dataset of complete calibrated endoscopy proceduresCode1
DSP-SLAM: Object Oriented SLAM with Deep Shape PriorsCode1
Loosely-Coupled Semi-Direct Monocular SLAMCode1
miniSAM: A Flexible Factor Graph Non-linear Least Squares Optimization FrameworkCode1
MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least SquareCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
BDIS-SLAM: A lightweight CPU-based dense stereo SLAM for surgeryCode1
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit FieldsCode1
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