Abstract

In the realm of Indoor Positioning Systems (IPS), navigating the intricate challenges posed by dynamic interior environments demands a pivot towards more sophisticated solutions. This chapter underscores the crucial role of Artificial Intelligence (AI) in transcending the conventional limitations of IPS, thereby facilitating a paradigm shift towards self-calibrating, adaptive, high precision navigation systems within complex indoor spaces. Through an expansive discussion encompassing use cases across varied sectors such as retail, healthcare, and smart building management, this chapter delves into the technological underpinnings of IPS and their evolution aided by AI technologies. It highlights key challenges, including accuracy, adaptability, and predictive modelling, and presents AI-driven solutions and case studies that illustrate the transformative impact of AI on enhancing system capabilities. This narrative serves as a testament to the potential of AI in revolutionizing IPS by enabling systems to understand and predict human movement patterns, adapt to changes in real-time, and offer personalized user experiences. The discourse laid out in this chapter not only contributes to the scholarly understanding of IPS challenges and AI’s role in addressing them but also charts a course for future innovations in the domain of intelligent indoor navigation and positioning solutions.

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