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 251–260 of 572 papers

TitleStatusHype
A Belief Propagation Approach for Direct Multipath-Based SLAM—0
Millimeter-wave Radio SLAM: End-to-End Processing Methods and Experimental Validation—0
Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM—0
DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors—0
DNS SLAM: Dense Neural Semantic-Informed SLAM—0
GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting—0
Radarize: Enhancing Radar SLAM with Generalizable Doppler-Based Odometry—0
CP-SLAM: Collaborative Neural Point-based SLAM System—0
Inertial Guided Uncertainty Estimation of Feature Correspondence in Visual-Inertial Odometry/SLAM—0
Resilient Simultaneous Localization and Mapping Fusing Ultra Wide Band Range Measurements and Visual Odometry—0
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