Indoor Navigation Without Wi-Fi

Billions of people use their phone to help them navigate places. However, absence of WIFI signals in an indoor space makes indoor localization and mapping a demanding problem. A system is needed that can navigate indoors at high accuracy without WIFI. This system has many potential applications such as navigating inside massive structures like airports, train stations, or even locating favorite stores in a shopping complex. The primary aim of this project is to accomplish indoor, close range navigation without relying on WIFI, and to explore ways to crowdsource indoor maps. The system would keep track of one’s position accurately enough to not only provide navigation in circumstances without WIFI but also accurately guide one through locations that are indoors. This project solves the problem of navigation in environments with bad signals like buildings that don’t let WIFI signals through or underground locations. In addition, it provides navigation for off road excursions in remote environments while letting you keep track of your previous movements, making tracing your steps much easier. Instead, we address this problem by using the mobile device’s sensor data and evaluate its effectiveness considering aspects such as accuracy and complexity. The app must be accurate and be able to direct the user to their destination with only 5-10 steps of error which is about 10-20 feet. Our solution involves two main phases: detection of the number of steps performed by the user and their direction.