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

Showing 76100 of 572 papers

TitleStatusHype
AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty MinimizationCode1
Event-based Simultaneous Localization and Mapping: A Comprehensive SurveyCode1
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical ApplicationsCode1
EndoMapper dataset of complete calibrated endoscopy proceduresCode1
DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance FieldsCode1
MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least SquareCode1
Multicam-SLAM: Non-overlapping Multi-camera SLAM for Indirect Visual Localization and NavigationCode1
Embracing Dynamics: Dynamics-aware 4D Gaussian Splatting SLAMCode1
Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic ReconstructionCode1
DXSLAM: A Robust and Efficient Visual SLAM System with Deep FeaturesCode1
Fast and Incremental Loop Closure Detection Using Proximity GraphsCode1
GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture ModelsCode1
Multimodal Fusion and Vision-Language Models: A Survey for Robot VisionCode1
NeRF and Gaussian Splatting SLAM in the WildCode1
Graph-based Thermal-Inertial SLAM with Probabilistic Neural NetworksCode1
BDIS-SLAM: A lightweight CPU-based dense stereo SLAM for surgeryCode1
Continuous Pose for Monocular Cameras in Neural Implicit RepresentationCode1
miniSAM: A Flexible Factor Graph Non-linear Least Squares Optimization FrameworkCode1
Online Visual Place Recognition via Saliency Re-identificationCode1
Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit FieldsCode1
Fast and Incremental Loop Closure Detection with Deep Features and Proximity GraphsCode1
CPL-SLAM: Efficient and Certifiably Correct Planar Graph-Based SLAM Using the Complex Number RepresentationCode1
Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure DetectionCode1
Monocular visual simultaneous localization and mapping:(r) evolution from geometry to deep learning-based pipelinesCode1
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
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