Integrating Existing Indoor Navigational Aids into Data Modelling and Route Planning

Abstract

In this paper, we propose a concept of providing indoor navigation services by integrating existing navigational aids. We firstly conducted an in-situ experiment in two buildings with human subjects performing wayfinding tasks. The results suggested that people naturally refer to existing indoor navigational aids during navigating and signs were the most frequently used aids. We then integrated signs with their semantics into a graph-based indoor data model and indoor route planning. We intend to design a proof-of-concept indoor navigation system that aims at providing better navigating experience.