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 476–500 of 572 papers

TitleStatusHype
Robust Large Scale Monocular Visual SLAM—0
Robust Monocular SLAM for Egocentric Videos—0
Robust Snapshot Radio SLAM—0
Rotational Outlier Identification in Pose Graphs Using Dual Decomposition—0
Rotation Averaging: A Primal-Dual Method and Closed-Forms in Cycle Graphs—0
S3E-GNN: Sparse Spatial Scene Embedding with Graph Neural Networks for Camera Relocalization—0
S3-SLAM: Sparse Tri-plane Encoding for Neural Implicit SLAM—0
SafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment—0
Scaffold-SLAM: Structured 3D Gaussians for Simultaneous Localization and Photorealistic Mapping—0
Scalable Structure From Motion for Densely Sampled Videos—0
SD-6DoF-ICLK: Sparse and Deep Inverse Compositional Lucas-Kanade Algorithm on SE(3)—0
Seamless Augmented Reality Integration in Arthroscopy: A Pipeline for Articular Reconstruction and Guidance—0
Segway DRIVE Benchmark: Place Recognition and SLAM Data Collected by A Fleet of Delivery Robots—0
Self-optimizing loop sifting and majorization for 3D reconstruction—0
Self-Organizing Edge Computing Distribution Framework for Visual SLAM—0
SelfTune: Metrically Scaled Monocular Depth Estimation through Self-Supervised Learning—0
SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation—0
Semantic Segmentation of Surface from Lidar Point Cloud—0
Semantic SLAM with Autonomous Object-Level Data Association—0
Semantic Visual Simultaneous Localization and Mapping: A Survey—0
Semi-Semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments—0
Sensors, SLAM and Long-term Autonomy: A Review—0
SE-SLAM: Semi-Dense Structured Edge-Based Monocular SLAM—0
Set-Type Belief Propagation with Applications to Poisson Multi-Bernoulli SLAM—0
LSGDDN-LCD: An Appearance-based Loop Closure Detection using Local Superpixel Grid Descriptors and Incremental Dynamic Nodes—0
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