Combination of real and virtual world for indoor navigation using mobile application

Abstract

In today’s life when the cities are rising usage areas of mobile phones have increased in the last 10 years[1]. Although there have been improvements in many areas, most of the developments are in the field of positioning systems. Although the people’s lives continue in indoor environments, location-based information system receives data from the satellites, which can detect a person’s location in outdoor areas alone. But for indoor areas no efficient and perfect technology has been developed for the navigation or positioning. In this paper we have come up with an exceptional solution that is indoor navigation mobile-application which works with augmented reality, in our proposed solution, we will be using mobile camera as the scanner for getting the path and extracting the features from various objects in the path[6]. We use ARCoreSDK which is the heart of this project which has an inbuilt property called area learning which helps the system to extract and learn about the features present in a particular scenario using Machine Learning.