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 391–400 of 572 papers

TitleStatusHype
Compositional Scalable Object SLAM—0
Pushing the Envelope of Rotation Averaging for Visual SLAM—0
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic CalibrationCode1
The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation—0
Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale EnvironmentCode1
A Two-stage Unsupervised Approach for Low light Image Enhancement—0
Homography Estimation with Convolutional Neural Networks Under Conditions of Variance—0
InpaintFusion: Incremental RGB-D Inpainting for 3D Scenes—0
Fast and Incremental Loop Closure Detection with Deep Features and Proximity GraphsCode1
Fast Adaptation Nonlinear Observer for SLAM—0
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