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 531–540 of 572 papers

TitleStatusHype
Global Pose Estimation with an Attention-based Recurrent Network—0
GPO: Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization—0
GRIHA: Synthesizing 2-Dimensional Building Layouts from Images Captured using a Smart Phone—0
GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping—0
GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting—0
Haris: an Advanced Autonomous Mobile Robot for Smart Parking Assistance—0
HDPV-SLAM: Hybrid Depth-augmented Panoramic Visual SLAM for Mobile Mapping System with Tilted LiDAR and Panoramic Visual Camera—0
Hierarchical Segment-based Optimization for SLAM—0
Hippocampal formation-inspired probabilistic generative model—0
HI-SLAM: Monocular Real-time Dense Mapping with Hybrid Implicit Fields—0
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