Farid Yuli Martin Adiyatma
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View article: An Efficient Radio Map Construction Method Using Region-Aware Adaptive Ensemble Regression for Indoor Localization
An Efficient Radio Map Construction Method Using Region-Aware Adaptive Ensemble Regression for Indoor Localization Open
The increasing adoption of indoor localization has increased demand for location-based services (LBS) to enhance daily efficiency. Fingerprinting is a widely used method due to its high accuracy and resilience to multipath fading, but it r…
View article: C-MEL: Consensus-Based Multiple Ensemble Learning for Indoor Device-Free Localization Through Fingerprinting
C-MEL: Consensus-Based Multiple Ensemble Learning for Indoor Device-Free Localization Through Fingerprinting Open
The rise of location-aware services is enhancing the effectiveness of our daily tasks, especially within indoor environments where most activities take place. Wireless indoor localization systems are the predominant method for estimating l…
View article: Wi-Fi Sensing for Indoor Localization via Channel State Information: A Survey
Wi-Fi Sensing for Indoor Localization via Channel State Information: A Survey Open
Wireless Fidelity (Wi-Fi) sensing utilization has been widespread, especially for human behavior/activity recognition. It provides high flexibility since it does not require the person/object to carry any device known as device-free. This …
View article: TLB & WC-TLB-MM: The Improved Min-Max Algorithms for Multi Targets Indoor Localization
TLB & WC-TLB-MM: The Improved Min-Max Algorithms for Multi Targets Indoor Localization Open
Internet of Things (IoT)-based Indoor localization is the most commonly used system to determine target locations indoors. It applies to various purposes, e.g., indoor navigation, asset tracking in warehouse management, and tracking people…
View article: Fingerprint Database Enhancement by Applying Interpolation and Regression Techniques for IoT-based Indoor Localization
Fingerprint Database Enhancement by Applying Interpolation and Regression Techniques for IoT-based Indoor Localization Open
Most applied indoor localization is based on distance and fingerprint techniques. The distance-based technique converts specific parameters to a distance, while the fingerprint technique stores parameters as the fingerprint database. The w…
View article: Performance Comparison of Several Range-based Techniques for Indoor Localization Based on RSSI
Performance Comparison of Several Range-based Techniques for Indoor Localization Based on RSSI Open
The classical rang-based technique for position estimation is still reliably used for indoor localization. Trilateration and multilateration, which include three or more references to locate the indoor object, are two common examples. Thes…