Papers Indoor Localization
“Indoor Localization” 태그가 달린 논문 250편 · 필터 해제
Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-supervised Federated Learning and Robotic Vision Confirmation
The aging population is growing rapidly, and so is the danger of falls in older adults. A major cause of injury is falling, and detection in time can greatly save medical expenses and recovery time. However, to provide t…
Federated LearningIndoor LocalizationNavigatePrivacy PreservingA Privacy-Preserving Indoor Localization System based on Hierarchical Federated Learning
Location information serves as the fundamental element for numerous Internet of Things (IoT) applications. Traditional indoor localization techniques often produce significant errors and raise privacy concerns due to cen…
Federated LearningIndoor LocalizationPrivacy PreservingMMWiLoc: A Multi-Sensor Dataset and Robust Device-Free Localization Method Using Commercial Off-The-Shelf Millimeter Wave Wi-Fi Devices
Device-free Wi-Fi sensing has numerous benefits in practical settings, as it eliminates the requirement for dedicated sensing devices and can be accomplished using current low-cost Wi-Fi devices. With the development of …
Indoor LocalizationRobust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications
State estimation or filtering serves as a fundamental task to enable intelligent decision-making in applications such as autonomous vehicles, robotics, healthcare monitoring, smart grids, intelligent transportation, and …
Autonomous VehiclesBayesian InferenceIndoor LocalizationPoint Cloud Registration+2CiUAV: A Multi-Task 3D Indoor Localization System for UAVs based on Channel State Information
Accurate indoor positioning for unmanned aerial vehicles (UAVs) is critical for logistics, surveillance, and emergency response applications, particularly in GPS-denied environments. Existing indoor localization methods,…
Indoor LocalizationOWP-IMU: An RSS-based Optical Wireless and IMU Indoor Positioning Dataset
Received signal strength (RSS)-based optical wireless positioning (OWP) systems are becoming popular for indoor localization because they are low-cost and accurate. However, few open-source datasets are available to test…
Indoor LocalizationAI-Assisted NLOS Sensing for RIS-Based Indoor Localization in Smart Factories
In the era of Industry 4.0, precise indoor localization is vital for automation and efficiency in smart factories. Reconfigurable Intelligent Surfaces (RIS) are emerging as key enablers in 6G networks for joint sensing a…
Indoor LocalizationTransforming Decoder-Only Transformers for Accurate WiFi-Telemetry Based Indoor Localization
Wireless Fidelity (WiFi) based indoor positioning is a widely researched area for determining the position of devices within a wireless network. Accurate indoor location has numerous applications, such as asset tracking …
DecoderIndoor LocalizationRobust Indoor Localization via Conformal Methods and Variational Bayesian Adaptive Filtering
Indoor localization is critical for IoT applications, yet challenges such as non-Gaussian noise, environmental interference, and measurement outliers hinder the robustness of traditional methods. Existing approaches, inc…
Conformal PredictionIndoor LocalizationOutlier DetectionEnviKal-Loc: Sub-10m Indoor LoRaWAN Localization using an Environmental-Aware Path Loss and Adaptive RSSI Smoothing
LoRaWAN technology's extensive coverage positions it as a strong contender for large-scale IoT deployments. However, achieving sub-10 m accuracy in indoor localization remains challenging due to complex environmental con…
Indoor LocalizationLessons from Deploying Learning-based CSI Localization on a Large-Scale ISAC Platform
In recent years, Channel State Information (CSI), recognized for its fine-grained spatial characteristics, has attracted increasing attention in WiFi-based indoor localization. However, despite its potential, CSI-based a…
Indoor LocalizationIntegrated sensing and communicationISACA Statistical Evaluation of Indoor LoRaWAN Environment-Aware Propagation for 6G: MLR, ANOVA, and Residual Distribution Analysis
Modeling path loss in indoor LoRaWAN technology deployments is inherently challenging due to structural obstructions, occupant density and activities, and fluctuating environmental conditions. This study proposes a two-s…
Hybrid Machine LearningIndoor Localizationinput filteringInterpretable Machine Learning+1Visual Re-Ranking with Non-Visual Side Information
The standard approach for visual place recognition is to use global image descriptors to retrieve the most similar database images for a given query image. The results can then be further improved with re-ranking methods…
Graph Neural NetworkImage RetrievalIndoor LocalizationRe-Ranking+3Attentional Graph Meta-Learning for Indoor Localization Using Extremely Sparse Fingerprints
Fingerprint-based indoor localization is often labor-intensive due to the need for dense grids and repeated measurements across time and space. Maintaining high localization accuracy with extremely sparse fingerprints re…
Data AugmentationGraph Neural NetworkIndoor LocalizationMeta-LearningA New Statistical Approach to Calibration-Free Localization Using Unlabeled Crowdsourced Data
Fingerprinting-based indoor localization methods typically require labor-intensive site surveys to collect signal measurements at known reference locations and frequent recalibration, which limits their scalability. This…
Indoor LocalizationMTLoc: A Confidence-Based Source-Free Domain Adaptation Approach For Indoor Localization
Various deep learning models have been developed for indoor localization based on radio-frequency identification (RFID) tags. However, they often require adaptation to ensure accurate tracking in new target operational d…
Domain AdaptationIndoor LocalizationSelf-Supervised LearningSource-Free Domain Adaptation+1A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects
Wi-Fi sensing has emerged as a transformative technology that leverages ubiquitous wireless signals to enable a variety of applications ranging from activity and gesture recognition to indoor localization and health moni…
Action RecognitionGesture RecognitionIndoor LocalizationSurveyOn the Connection Between Magnetic-Field Odometry Aided Inertial Navigation and Magnetic-Field SLAM
Magnetic-field simultaneous localization and mapping (SLAM) using consumer-grade inertial and magnetometer sensors offers a scalable, cost-effective solution for indoor localization. However, the rapid error accumulation…
Indoor LocalizationSimultaneous Localization and MappingAI-Driven Relocation Tracking in Dynamic Kitchen Environments
As smart homes become more prevalent in daily life, the ability to understand dynamic environments is essential which is increasingly dependent on AI systems. This study focuses on developing an intelligent algorithm whi…
2D Object Detection3D ReconstructionIndoor LocalizationNavigate+3Indoor Localization for Autonomous Robot Navigation
Indoor positioning systems (IPSs) have gained attention as outdoor navigation becomes prevalent in everyday life. Research is being actively conducted on how indoor smartphone navigation can be accomplished and improved …
Indoor LocalizationNavigateRobot Navigation