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 461–470 of 572 papers

TitleStatusHype
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
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