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 451–475 of 572 papers

TitleStatusHype
Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation—0
AQUALOC: An Underwater Dataset for Visual-Inertial-Pressure Localization—0
Distributed and Consistent Multi-Image Feature Matching via QuickMatch—0
gradSLAM: Automagically differentiable SLAMCode0
Bayesian Integration of Multi-resolutional Grid Codes for Spatial Cognition—0
Experience Dependent Formation of Global Coherent Representation of Environment by Grid Cells and Head Direction Cells—0
Real-Time 3D Reconstruction of Colonoscopic Surfaces for Determining Missing Regions—0
Measuring robustness of Visual SLAM—0
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and MappingCode1
SLAM-based Integrity Monitoring Using GPS and Fish-eye Camera—0
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage CostCode0
TagSLAM: Robust SLAM with Fiducial Markers—0
Kalman Filtering with Gaussian Processes Measurement Noise—0
Active collaboration in relative observation for Multi-agent visual SLAM based on Deep Q Network—0
A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR DescriptorsCode0
SE-SLAM: Semi-Dense Structured Edge-Based Monocular SLAM—0
miniSAM: A Flexible Factor Graph Non-linear Least Squares Optimization FrameworkCode1
LiDARTag: A Real-Time Fiducial Tag System for Point CloudsCode1
How far should self-driving cars see? Effect of observation range on vehicle self-localization—0
Hybrid Camera Pose Estimation with Online Partitioning for SLAM—0
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM—0
Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAMCode0
Real-time Vision-based Depth Reconstruction with NVidia JetsonCode1
Segway DRIVE Benchmark: Place Recognition and SLAM Data Collected by A Fleet of Delivery Robots—0
Dynamic-SLAM: Semantic monocular visual localization and mapping based on deep learning in dynamic environmentCode0
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