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 451–500 of 572 papers

TitleStatusHype
Compositional Scalable Object SLAM—0
Construction Inspection through Spatial Database—0
Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection—0
Cooperative mmWave PHD-SLAM with Moving Scatterers—0
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
Dirichlet process approach for radio-based simultaneous localization and mapping—0
Distributed and Consistent Multi-Image Feature Matching via QuickMatch—0
DL-SLOT: Dynamic Lidar SLAM and Object Tracking Based On Graph Optimization—0
DNS SLAM: Dense Neural Semantic-Informed SLAM—0
Doppler Exploitation in Bistatic mmWave Radio SLAM—0
DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames—0
Dual-SLAM: A framework for robust single camera navigation—0
DVI-SLAM: A Dual Visual Inertial SLAM Network—0
DVM-SLAM: Decentralized Visual Monocular Simultaneous Localization and Mapping for Multi-Agent Systems—0
DVN-SLAM: Dynamic Visual Neural SLAM Based on Local-Global Encoding—0
Dy3DGS-SLAM: Monocular 3D Gaussian Splatting SLAM for Dynamic Environments—0
DynaGSLAM: Real-Time Gaussian-Splatting SLAM for Online Rendering, Tracking, Motion Predictions of Moving Objects in Dynamic Scenes—0
Dynamic Reconstruction of Deformable Soft-tissue with Stereo Scope in Minimal Invasive Surgery—0
Dynamic semantic VSLAM with known and unknown objects—0
Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera—0
EdgePoint2: Compact Descriptors for Superior Efficiency and Accuracy—0
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping—0
Efficient Placard Discovery for Semantic Mapping During Frontier Exploration—0
Egocentric Spatial Memory Network—0
EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors—0
Embedded Vision for Self-Driving on Forest Roads—0
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