Guided Navigation Using Embedded System

ABSTRACT

The Next-Generation Exploration (NGE) project aims to design an intelligent indoor–outdoor navigation system tailored for university and college campuses. Traditional GPS systems perform poorly indoors and lack the precision needed for complex building layouts. To address this gap, the NGE system integrates ESP32 modules functioning as Bluetooth/Wi-Fi beacons to create a reliable, low-cost, and scalable positioning infrastructure. These beacons act as checkpoints distributed across campus, allowing users to receive accurate navigation guidance through a mobile application without depending solely on GPS signals.

The proposed system captures real-time proximity data from ESP32 beacons and processes it to determine the user’s location with improved reliability. Using these coordinates, the mobile application generates the shortest path to the desired destination and presents it through an intuitive AR-based interface. This AR module displays directional arrows and route overlays similar to simulation and gaming environments, significantly enhancing user experience and reducing confusion in complex campus layouts. Furthermore, the system leverages existing campus Wi-Fi networks where possible, enabling extended range and reducing the number of physical beacons required.

By combining low-power embedded hardware, wireless communication, and mobile AR technologies, the NGE project provides a modern, accessible solution for campus navigation challenges. The system is cost-effective, easy to deploy, and scalable across institutions of varying sizes. Its potential applications extend beyond student navigation to include visitor guidance, emergency routing, and infrastructure management. Ultimately, NGE demonstrates how embedded systems can transform spatial awareness in educational environments, offering a robust foundation for future smart-campus initiatives.

General Terms

Embedded Systems, Wireless Communication, Indoor Navigation, Augmented Reality, Localization, Mobile Computing.

Keywords

ESP32, Bluetooth Low Energy (BLE), AR Navigation, Campus Guidance System, RSSI Localization, Route Optimization, Embedded Beacons.