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 301–310 of 572 papers

TitleStatusHype
HDPV-SLAM: Hybrid Depth-augmented Panoramic Visual SLAM for Mobile Mapping System with Tilted LiDAR and Panoramic Visual Camera—0
Improving Autonomous Vehicle Mapping and Navigation in Work Zones Using Crowdsourcing Vehicle Trajectories—0
Dense RGB SLAM with Neural Implicit Maps—0
Extended FastSLAM Using Cellular Multipath Component Delays and Angular Information—0
BS3D: Building-scale 3D Reconstruction from RGB-D Images—0
A Fast Feature Point Matching Algorithm Based on IMU Sensor—0
Occ^2Net: Robust Image Matching Based on 3D Occupancy Estimation for Occluded Regions—0
Radio SLAM for 6G Systems at THz Frequencies: Design and Experimental Validation—0
Shared Coupling-bridge for Weakly Supervised Local Feature LearningCode0
SLAM for Visually Impaired People: a Survey—0
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