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 171–180 of 572 papers

TitleStatusHype
Millimeter-wave Radio SLAM: End-to-End Processing Methods and Experimental Validation—0
Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM—0
Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian SplattingCode3
DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors—0
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAMCode4
DNS SLAM: Dense Neural Semantic-Informed SLAM—0
Continuous Pose for Monocular Cameras in Neural Implicit RepresentationCode1
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
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