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 451–460 of 572 papers

TitleStatusHype
Poster: Making Edge-assisted LiDAR Perceptions Robust to Lossy Point Cloud Compression—0
Prediction of SLAM ATE Using an Ensemble Learning Regression Model and 1-D Global Pooling of Data Characterization—0
Privacy-Protection Drone Patrol System based on Face Anonymization—0
Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network—0
Pushing the Envelope of Rotation Averaging for Visual SLAM—0
Quadrotor Control on SU(2) R^3 with SLAM Integration—0
Radarize: Enhancing Radar SLAM with Generalizable Doppler-Based Odometry—0
Radio SLAM for 6G Systems at THz Frequencies: Design and Experimental Validation—0
Range-Only Bearing Estimator for Localization and Mapping—0
Real-Time 3D Reconstruction of Colonoscopic Surfaces for Determining Missing Regions—0
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