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Indoor Localization
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Indoor localization is a fundamental problem in indoor location-based applications.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A Privacy-Preserving Indoor Localization System based on Hierarchical Federated Learning
Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications
MMWiLoc: A Multi-Sensor Dataset and Robust Device-Free Localization Method Using Commercial Off-The-Shelf Millimeter Wave Wi-Fi Devices
CiUAV: A Multi-Task 3D Indoor Localization System for UAVs based on Channel State Information
OWP-IMU: An RSS-based Optical Wireless and IMU Indoor Positioning Dataset
AI-Assisted NLOS Sensing for RIS-Based Indoor Localization in Smart Factories
Transforming Decoder-Only Transformers for Accurate WiFi-Telemetry Based Indoor Localization
Robust Indoor Localization via Conformal Methods and Variational Bayesian Adaptive Filtering
EnviKal-Loc: Sub-10m Indoor LoRaWAN Localization using an Environmental-Aware Path Loss and Adaptive RSSI Smoothing
Lessons from Deploying Learning-based CSI Localization on a Large-Scale ISAC Platform
A Statistical Evaluation of Indoor LoRaWAN Environment-Aware Propagation for 6G: MLR, ANOVA, and Residual Distribution Analysis
Visual Re-Ranking with Non-Visual Side Information
Attentional Graph Meta-Learning for Indoor Localization Using Extremely Sparse Fingerprints
A New Statistical Approach to Calibration-Free Localization Using Unlabeled Crowdsourced Data
MTLoc: A Confidence-Based Source-Free Domain Adaptation Approach For Indoor Localization
A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects
On the Connection Between Magnetic-Field Odometry Aided Inertial Navigation and Magnetic-Field SLAM
AI-Driven Relocation Tracking in Dynamic Kitchen Environments
Indoor Localization for Autonomous Robot Navigation
Robust Indoor Localization in Dynamic Environments: A Multi-source Unsupervised Domain Adaptation Framework
RayLoc: Wireless Indoor Localization via Fully Differentiable Ray-tracing
Transforming Indoor Localization: Advanced Transformer Architecture for NLOS Dominated Wireless Environments with Distributed Sensors
Meta-Learning for Physically-Constrained Neural System Identification
Bluetooth Low Energy Dataset Using In-Phase and Quadrature Samples for Indoor Localization
MetaGraphLoc: A Graph-based Meta-learning Scheme for Indoor Localization via Sensor Fusion
SAFELOC: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning for Indoor Localization
PALMS: Plane-based Accessible Indoor Localization Using Mobile Smartphones
The Wallpaper is Ugly: Indoor Localization using Vision and Language
Radio Foundation Models: Pre-training Transformers for 5G-based Indoor Localization
Hybrid Quantum Neural Network based Indoor User Localization using Cloud Quantum Computing
An Analysis of Minimum Error Entropy Loss Functions in Wireless Communications
wav2pos: Sound Source Localization using Masked Autoencoders
SGP-RI: A Real-Time-Trainable and Decentralized IoT Indoor Localization Model Based on Sparse Gaussian Process with Reduced-Dimensional Inputs
RaNDT SLAM: Radar SLAM Based on Intensity-Augmented Normal Distributions Transform
Wireless Channel Aware Data Augmentation Methods for Deep Learning-Based Indoor Localization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.