Location Based Augmented Reality Navigation Application

Abstract

This paper presents a novel Augmented Reality (AR) navigation system to overcome limitations of conventional 2D map-based applications in advanced real-world environments. Current AR navigation systems solutions often lack dynamic adaptation to user behavior and fail to deliver context-aware, personalized guidance. Addressing these gaps, we present a markerless, location-based AR system integrating three innovations: 1) a Dynamic Predictive Navigation module with Long Short-Term Memory (LSTM) networks for anticipating user intention and dynamically optimizing routes in real time, 2) a Smart POI Ranking system with sentiment analysis, live user feedback, and social media trends for presenting personalized and context-aware recommendations, and 3) a 3D AR interface built with Unity and ARCore for enhancing spatial understanding and reducing cognitive burden through visually engaging guidance. Experimental evaluation presents improved navigation responsiveness, reduced rerouting effort, and increased user interaction with recommended POIs. This work contributes a scalable and adaptive solution towards real-time AR navigation, with applicability to smart city mobility and context-aware spatial computing.