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 431–440 of 572 papers

TitleStatusHype
Rotational Outlier Identification in Pose Graphs Using Dual Decomposition—0
A SLAM Map Restoration Algorithm Based on Submaps and an Undirected Connected Graph—0
Exploiting Diffuse Multipath in 5G SLAM—0
Revisiting visual-inertial structure from motion for odometry and SLAM initialization—0
DeepRelativeFusion: Dense Monocular SLAM using Single-Image Relative Depth Prediction—0
3D Lidar Mapping Relative Accuracy Automatic Evaluation Algorithm—0
An FPGA Acceleration and Optimization Techniques for 2D LiDAR SLAM Algorithm—0
SLAM-Inspired Simultaneous Contextualization and Interpreting for Incremental Conversation Sentences—0
Privacy-Protection Drone Patrol System based on Face Anonymization—0
Maplets: An Efficient Approach for Cooperative SLAM Map Building Under Communication and Computation Constraints—0
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