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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 81–90 of 572 papers

TitleStatusHype
Self-Supervised Domain Calibration and Uncertainty Estimation for Place RecognitionCode1
STUN: Self-Teaching Uncertainty Estimation for Place RecognitionCode1
SAGE: SLAM with Appearance and Geometry Prior for EndoscopyCode1
Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination SystemsCode1
High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAMCode1
Autonomous Navigation System from Simultaneous Localization and MappingCode1
The Hilti SLAM Challenge DatasetCode1
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place RecognitionCode1
SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture ConstraintsCode1
Optimal Target Shape for LiDAR Pose EstimationCode1
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