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 151–175 of 572 papers

TitleStatusHype
Deep Learning Reforms Image Matching: A Survey and Outlook—0
Deep Learning for Visual Localization and Mapping: A Survey—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
A Belief Propagation Approach for Direct Multipath-Based SLAM—0
Fast Loop Closure Detection via Binary Content—0
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications—0
Deep-Learning-Based Indoor Human Following of Mobile Robot Using Color Feature—0
Augmented Reality for Depth Cues in Monocular Minimally Invasive Surgery—0
Deep Learning-based Cooperative LiDAR Sensing for Improved Vehicle Positioning—0
A Two-stage Unsupervised Approach for Low light Image Enhancement—0
A Geometric Nonlinear Stochastic Filter for Simultaneous Localization and Mapping—0
Data Fusion for Radio Frequency SLAM with Robust Sampling—0
Data Fusion for Multipath-Based SLAM: Combining Information from Multiple Propagation Paths—0
RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network—0
A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior—0
A Belief Propagation Algorithm for Multipath-based SLAM with Multiple Map Features: A mmWave MIMO Application—0
DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded Environments—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
CP-SLAM: Collaborative Neural Point-based SLAM 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
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