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 241–250 of 572 papers

TitleStatusHype
Swarm-SLAM : Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot SystemsCode2
AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty MinimizationCode1
A Fast Feature Point Matching Algorithm Based on IMU Sensor—0
BS3D: Building-scale 3D Reconstruction from RGB-D Images—0
Occ^2Net: Robust Image Matching Based on 3D Occupancy Estimation for Occluded Regions—0
HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D ImagesCode1
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
MmWave Mapping and SLAM for 5G and Beyond—0
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