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 251–275 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
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
Fast Loop Closure Detection via Binary Content—0
Cooperative mmWave PHD-SLAM with Moving Scatterers—0
Fast Geometric Surface based Segmentation of Point Cloud from Lidar Data—0
Faster than Fast: Accelerating Oriented FAST Feature Detection on Low-end Embedded GPUs—0
Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection—0
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