Introduction
Indoor localization is a rapidly evolving field that addresses the challenges of navigating and locating individuals within complex indoor environments. Unlike outdoor positioning systems, indoor localization requires innovative techniques due to obstacles like walls and varying signal strengths. This collection of research articles delves into various methodologies, technologies, and applications related to indoor localization, exploring advancements in GPS alternatives, sensor fusion, and machine learning approaches. Through these studies, we aim to provide insights into the state of the art and the future directions of this critical area of research.
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