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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 201–250 of 572 papers

TitleStatusHype
KP2Dtiny: Quantized Neural Keypoint Detection and Description on the EdgeCode0
PEBO-SLAM: Observer design for visual inertial SLAM with convergence guarantees—0
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAMCode1
Investigation of the Challenges of Underwater-Visual-Monocular-SLAM—0
iSLAM: Imperative SLAMCode1
Volume-DROID: A Real-Time Implementation of Volumetric Mapping with DROID-SLAMCode1
How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers—0
Towards View-invariant and Accurate Loop Detection Based on Scene Graph—0
FEDORA: Flying Event Dataset fOr Reactive behAvior—0
A Fast and Robust Camera-IMU Online Calibration Method For Localization System—0
Rotation Synchronization via Deep Matrix FactorizationCode0
Design, Implementation and Evaluation of an External Pose-Tracking System for Underwater Cameras—0
Set-Type Belief Propagation with Applications to Poisson Multi-Bernoulli SLAM—0
EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors—0
Neural Implicit Dense Semantic SLAM—0
Event-based Simultaneous Localization and Mapping: A Comprehensive SurveyCode1
Range-Only Bearing Estimator for Localization and Mapping—0
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
Multipath-based SLAM for Non-Ideal Reflective Surfaces Exploiting Multiple-Measurement Data Association—0
Loop Closure Detection Based on Object-level Spatial Layout and Semantic ConsistencyCode1
DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames—0
Point-SLAM: Dense Neural Point Cloud-based SLAMCode2
LSGDDN-LCD: An Appearance-based Loop Closure Detection using Local Superpixel Grid Descriptors and Incremental Dynamic Nodes—0
USTC FLICAR: A Sensors Fusion Dataset of LiDAR-Inertial-Camera for Heavy-duty Autonomous Aerial Work Robots—0
Live image-based neurosurgical guidance and roadmap generation using unsupervised embedding—0
Photometric LiDAR and RGB-D Bundle AdjustmentCode0
Object-based SLAM utilizing unambiguous pose parameters considering general symmetry types—0
Millimeter Wave Wireless Communication Assisted Three-Dimensional Simultaneous Localization and Mapping—0
Visual Perception System for Autonomous Driving—0
Prediction of SLAM ATE Using an Ensemble Learning Regression Model and 1-D Global Pooling of Data Characterization—0
Region Prediction for Efficient Robot Localization on Large MapsCode0
SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous DrivingCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
Task Space Control of Robot Manipulators based on Visual SLAM—0
NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM—0
HDPV-SLAM: Hybrid Depth-augmented Panoramic Visual SLAM for Mobile Mapping System with Tilted LiDAR and Panoramic Visual Camera—0
Real-Time Simultaneous Localization and Mapping with LiDAR intensityCode1
Improving Autonomous Vehicle Mapping and Navigation in Work Zones Using Crowdsourcing Vehicle Trajectories—0
Dense RGB SLAM with Neural Implicit Maps—0
Extended FastSLAM Using Cellular Multipath Component Delays and Angular Information—0
Swarm-SLAM : Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot SystemsCode2
AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty MinimizationCode1
A Fast Feature Point Matching Algorithm Based on IMU Sensor—0
BS3D: Building-scale 3D Reconstruction from RGB-D Images—0
Occ^2Net: Robust Image Matching Based on 3D Occupancy Estimation for Occluded Regions—0
HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D ImagesCode1
Radio SLAM for 6G Systems at THz Frequencies: Design and Experimental Validation—0
Shared Coupling-bridge for Weakly Supervised Local Feature LearningCode0
SLAM for Visually Impaired People: a Survey—0
MmWave Mapping and SLAM for 5G and Beyond—0
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