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 441–450 of 572 papers

TitleStatusHype
Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization—0
Wireless Channel Prediction in Partially Observed Environments—0
Y-GAN: A Generative Adversarial Network for Depthmap Estimation from Multi-camera Stereo Images—0
PLD-SLAM: A Real-Time Visual SLAM Using Points and Line Segments in Dynamic Scenes—0
PMBM-based SLAM Filters in 5G mmWave Vehicular Networks—0
PNE-SGAN: Probabilistic NDT-Enhanced Semantic Graph Attention Network for LiDAR Loop Closure Detection—0
Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments—0
PoseFusion2: Simultaneous Background Reconstruction and Human Shape Recovery in Real-time—0
Position Estimation of Camera Based on Unsupervised Learning—0
Posterior Cramér-Rao Bounds on Localization and Mapping Errors in Distributed MIMO SLAM—0
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