Abstract
Abstract: Although various solutions have been suggested for indoor navigation systems, most methods require the support of external physical hardware infrastructure. Due to the increase in complexity and cost of the set-up of supporting hardware requirements, scalability will always be an issue with such systems. In this paper, we present the design of a smartphone-based indoor navigation system. The proposed method uses on-device sensors for Computer Vision and is supported by a web-based architecture, for easily creating indoor maps and providing an indoor location’s information for navigation and localization.
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