Affiliation:
1. University of Tehran, Iran
Abstract
Navigation has been an inseparable part of human life especially in modern days, when the structures of cities and their buildings' indoor environments have been more complex. More than 80% of routine life of a typical citizen is spent in indoor and the indoor environment are getting highly complex due to the increase in sizes of the buildings. An important factor to a successful indoor navigation is the precise suitable map for the inside of the buildings. Collection and generation of indoor geospatial data is very time consuming and costly for a building. Using the concept of volunteered geospatial information might be a suitable solution to deal with this problem. This chapter addresses the extraction of a data model for indoor navigation from VGI. An efficient methodology is proposed and evaluated to extract the navigation data model from OpenStreetMap automatically to use in indoor navigation applications.
Reference37 articles.
1. Building Information Modeling (BIM): Trends, Benefits, Risks, and Challenges for the AEC Industry
2. Perception system and functions for autonomous navigation in a natural environment.;R.Chatila;Proceedings of the AIAA/NASA Conference on Intelligent Robots for Field, Factory, Service and Space,1994