Revolutionizing Navigation: AI-Driven Augmented Reality for Real-Time Environmental Tracking on Mobile Devices
This paper explores the utilization of Augmented Reality (AR) alongside an Artificial Intelligence (AI) driven navigation agent to support real time environmental tracking, in a manner that provides user-oriented interactions with mobile technologies. Users are interacting with AR technologies due to the rapid advancements in mobile devices, significantly benefiting the ways of the users to interact with the technologies and unlocking greater opportunities of applications based on immersive and practical applications. To help with this integration, the Unity 3D engine used to construct a flexible AR framework with support of its use to design a virtual environment which enables flexible interactions. The system continuously keeps track of the environment using a navigation mesh, created from walkable surfaces and non-walkable surfaces, through an AI navigation agent, and reacts in real time as the user walks through space. Traditional AR navigation systems require external high-end hardware for spatial recognition and motion tracking, overly expensive sensor hardware, and are tightly bound to one precise position. On the other hand, the proposed model ingeniously obviates the need for extra hardware. Instead, it builds a digital model of the environment, directly inside the Unity engine, using virtual trackers and measuring to represent real world spatial dynamics. As such, this design guarantees that the system adapts to any AR enabled device, regardless of its hardware conditions. The primary objective of this system is to present a real time virtual representation of the user's environment that delivers a robust environment to teleoperate for an improved experience that does not require teleportation and has intuitive navigation capabilities.
Authors
- R Kaviyaraj
- S Surendran
- GL Sagar
Institutions
- SRM Institute of Science and Technology (IN)
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1109/icercs63125.2024.10895347
- Primary Topic
- Augmented Reality Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00