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 251–260 of 572 papers

TitleStatusHype
Global Pose Estimation with an Attention-based Recurrent Network—0
GI-SLAM: Gaussian-Inertial SLAM—0
Iterated Posterior Linearization PMB Filter for 5G SLAM—0
IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping—0
DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded Environments—0
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping—0
cuVSLAM: CUDA accelerated visual odometry and mapping—0
CudaSIFT-SLAM: multiple-map visual SLAM for full procedure mapping in real human endoscopy—0
A Fast Feature Point Matching Algorithm Based on IMU Sensor—0
FR-SLAM: A SLAM Improvement Method Based on Floor Plan Registration—0
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