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 326–350 of 572 papers

TitleStatusHype
CP-SLAM: Collaborative Neural Point-based SLAM System—0
CudaSIFT-SLAM: multiple-map visual SLAM for full procedure mapping in real human endoscopy—0
cuVSLAM: CUDA accelerated visual odometry and mapping—0
DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded Environments—0
Data Fusion for Multipath-Based SLAM: Combining Information from Multiple Propagation Paths—0
Data Fusion for Radio Frequency SLAM with Robust Sampling—0
Deep Learning-based Cooperative LiDAR Sensing for Improved Vehicle Positioning—0
Deep-Learning-Based Indoor Human Following of Mobile Robot Using Color Feature—0
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications—0
Deep Learning for Visual Localization and Mapping: A Survey—0
Deep Learning Reforms Image Matching: A Survey and Outlook—0
DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors—0
DeepRelativeFusion: Dense Monocular SLAM using Single-Image Relative Depth Prediction—0
Deep Visual Odometry Methods for Mobile Robots—0
DeepVO: A Deep Learning approach for Monocular Visual Odometry—0
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM—0
Degenerate Motions in Multicamera Cluster SLAM with Non-overlapping Fields of View—0
Dense monocular Simultaneous Localization and Mapping by direct surfel optimization—0
Dense Object Reconstruction from RGBD Images with Embedded Deep Shape Representations—0
Dense RGB SLAM with Neural Implicit Maps—0
Design, Implementation and Evaluation of an External Pose-Tracking System for Underwater Cameras—0
DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features—0
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation—0
Direction-Aware Semi-Dense SLAM—0
Direct Multipath-Based SLAM—0
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