Geomatics Day - Student project 1
Exploring Image Matching for Indoor Localization: Getting Directions Solely Based on Your Phone Camera
Navigating large, complex buildings like hospitals or airports can be a frustrating experience for visitors trying to locate the right department or gate. Our project aims to make indoor navigation more accessible by using an approach that combines image matching and graph-based pathfinding, putting advanced technology in the palm of your hand. Users can capture images of their surroundings with their phones, which are then sent to a server via our API. On the server side, these images are converted into keypoint descriptors and compared to descriptors from pre-captured images of the building's interior. The best matches are used to calculate the user's location, and with their desired destination, a navigational algorithm computes the shortest route and returns it to the user.
This project highlights the integration of cutting-edge techniques in indoor navigation, with the potential to bring these solutions closer to widespread public use, providing a more efficient and intuitive way for users to navigate unfamiliar indoor spaces."
