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 261–270 of 572 papers

TitleStatusHype
From SLAM to Situational Awareness: Challenges and Survey—0
From Gaming to Research: GTA V for Synthetic Data Generation for Robotics and Navigations—0
CP-SLAM: Collaborative Neural Point-based SLAM System—0
FLIVVER: Fly Lobula Inspired Visual Velocity Estimation & Ranging—0
Fisheye Lens Camera based Autonomous Valet Parking System—0
A Survey on Reinforcement Learning Applications in SLAM—0
A Fast and Robust Camera-IMU Online Calibration Method For Localization System—0
3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments—0
3D Densification for Multi-Map Monocular VSLAM in Endoscopy—0
FEDORA: Flying Event Dataset fOr Reactive behAvior—0
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