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 371–380 of 572 papers

TitleStatusHype
AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments—0
SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous RobotsCode0
mmWave Simultaneous Localization and Mapping Using a Computationally Efficient EK-PHD Filter—0
PoseFusion2: Simultaneous Background Reconstruction and Human Shape Recovery in Real-time—0
Automatic Vocabulary and Graph Verification for Accurate Loop Closure Detection—0
Wireless Indoor Simultaneous Localization and Mapping Using Reconfigurable Intelligent Surface—0
Dirichlet process approach for radio-based simultaneous localization and mapping—0
Cooperative mmWave PHD-SLAM with Moving Scatterers—0
BEyond observation: an approach for ObjectNavCode0
Towards bio-inspired unsupervised representation learning for indoor aerial navigation—0
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