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 321–330 of 572 papers

TitleStatusHype
From SLAM to Situational Awareness: Challenges and Survey—0
The Hilti SLAM Challenge DatasetCode1
Superquadric Object Representation for Optimization-based Semantic SLAM—0
AirLoop: Lifelong Loop Closure DetectionCode0
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place RecognitionCode1
Stochastic Observer for SLAM on the Lie Group—0
SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture ConstraintsCode1
A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM—0
Optimal Target Shape for LiDAR Pose EstimationCode1
RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network—0
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