Precision in Motion: An Approach to Indoor Localization and Navigation for Complex Spaces

The demand for effective indoor positioning and navigation systems has surged in response to the increasing reliance on accurate location services within environments where traditional GPS is ineffective. This paper presents a comprehensive overview of the current landscape of indoor localization technologies, highlighting their applications across various industries. Despite significant advancements, challenges such as signal interference and dynamic obstacles persist, hindering the accuracy and efficiency of existing systems. To address these issues, we propose an algorithm that integrates advanced indoor mapping techniques with an iterative A* pathfinding approach. Our Algorithm utilizes Received Signal Strength Indicator (RSSI) values to ascertain user location through trilateration, while a user-friendly graphical interface allows for intuitive barrier placement and dynamic checkpoint selection. This framework not only improves navigation accuracy in complex indoor environments but also enhances operational efficiency by facilitating optimal pathfinding. Through empirical validation, our approach demonstrates a significant reduction in search times and an increase in productivity, underscoring its potential to transform indoor navigation practices. The findings contribute to the ongoing discourse on indoor positioning technologies, offering a robust solution to the challenges faced in navigating intricate indoor spaces.