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 271–280 of 572 papers

TitleStatusHype
Efficient Placard Discovery for Semantic Mapping During Frontier Exploration—0
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping—0
Appearance-based indoor localization: A comparison of patch descriptor performance—0
EdgePoint2: Compact Descriptors for Superior Efficiency and Accuracy—0
A Novel ViDAR Device With Visual Inertial Encoder Odometry and Reinforcement Learning-Based Active SLAM Method—0
Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera—0
BlinkTrack: Feature Tracking over 100 FPS via Events and Images—0
Adaptive Multipath-Based SLAM for Distributed MIMO Systems—0
Black-box Adversarial Attacks on CNN-based SLAM Algorithms—0
Dynamic semantic VSLAM with known and unknown objects—0
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