@inproceedings{100afed96819480481dafa7f5b9aa505,
title = "CAViAR: Context aware visual indoor augmented reality for a University Campus",
abstract = "CAViAR is a mobile software system for indoor environments that provides to the mobile user equipped with a smartphone indoor localization, augmented reality (AR), visual interaction, and indoor navigation. These capabilities are possible with the availability of state of the art AR technologies. The mobile application includes additional features, such as indoor maps, shortest path, inertial navigation, places of interest, location sharing and voice-commanded search. CAViAR was tested in a University Campus as one of the technologies to be used later in an intelligent Campus environment.",
keywords = "augmented reality, Context aware, image detection, indoor localization, visual computing",
author = "Delail, \{Buti Al\} and Luis Weruaga and Zemerly, \{M. Jamal\}",
year = "2012",
doi = "10.1109/WI-IAT.2012.99",
language = "British English",
isbn = "9780769548807",
series = "Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012",
pages = "286--290",
booktitle = "Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012",
note = "2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012 ; Conference date: 04-12-2012 Through 07-12-2012",
}