A Low cost Augmented Reality system for Wide Area Indoor Navigation
| Autor: | Shashwat Varshney, Vivek Dosaya, Vijaya Kumar Parameshwarappa, Akshay Beniwal, Shraddha Tak |
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| Rok vydání: | 2020 |
| Předmět: |
Structure (mathematical logic)
2019-20 coronavirus outbreak Wide area business.industry Computer science Human–computer interaction Global Positioning System ComputerApplications_COMPUTERSINOTHERSYSTEMS Cloud computing Augmented reality Space (commercial competition) business Task (project management) |
| Zdroj: | 2020 International Conference on Decision Aid Sciences and Application (DASA). |
| Popis: | In today's world, there are a lot of outdoor navigation apps for visually challenged people, but there are none that can precisely tell a user's location inside a large structure. Indoor navigation is a complex task for the visually challenged as well as for the general public, especially in large structures like malls, airports, museums, factories, etc. Present solutions and technologies are not cost-effective as well as complex. Hence, we are proposing a low-cost model that uses Augmented Reality to place virtual anchors across a structure, so a person can navigate from one location to another with the help of these anchors. The model doesn't use technologies like GPS. Machine Learning, and Artificial Intelligence but here, the anchors placed are pervasive and persistent across the indoor environment for smooth navigation. Once placed, these virtual anchors remain at their location and can be used at any time by any person registered on our app. This model can be extended for the general public in any indoor space and also can be enhanced by gamification for better user interaction and retention. This model can also be extended to collaborate with the Aarogya Setu app, which can help us identify routes that go through spaces through which covid positive patients have passed which in turn helps us avoid those routes in real-time navigation. |
| Databáze: | OpenAIRE |
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