AI-Driven Augmented Reality for Intelligent and Adaptive Navigation System in Complex Environments

Abstract

Yu Nong, Kai Wang, Jia-Qiang Sun, and Hua-Nan Wu

This research paper presents an advanced Augmented Reality (AR) system for intelligent and adaptive navigation, leveraging cutting-edge artificial intelligence techniques. Our novel approach integrates deep learning, computer vision, natural language processing, and reinforcement learning to create a highly responsive and context-aware navigation experience in both indoor and outdoor settings. By placing AI at the forefront of our system, we address longstanding challenges in AR navigation and pave the way for more intuitive, efficient, and personalized wayfinding solutions.

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