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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 371–380 of 572 papers

TitleStatusHype
Vision-Aided Absolute Trajectory Estimation Using an Unsupervised Deep Network with Online Error Correction—0
Vision-based localization methods under GPS-denied conditions—0
VI-SLAM2tag: Low-Effort Labeled Dataset Collection for Fingerprinting-Based Indoor Localization—0
Visual Loop Closure Detection Through Deep Graph Consensus—0
Visual SLAMMOT Considering Multiple Motion Models—0
Visual SLAM: What are the Current Trends and What to Expect?—0
VNI-Net: Vector Neurons-based Rotation-Invariant Descriptor for LiDAR Place Recognition—0
Volume-based Semantic Labeling with Signed Distance Functions—0
VP-SLAM: A Monocular Real-time Visual SLAM with Points, Lines and Vanishing Points—0
vS-Graphs: Integrating Visual SLAM and Situational Graphs through Multi-level Scene Understanding—0
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