Título:
Computer Vision Based Indoor Navigation: A Visual Markers Evaluation.
Computer Vision Based Indoor Navigation: A Visual Markers Evaluation.
Autores:
La Delfa, Gaetano C; Catania, Vincenzo; Monteleone, Salvatore; Bajo Pérez, Javier; de Paz Santana, Juan F.
Libro:
Ambient Intelligence- Software and Applications – 6th International Symposium on Ambient Intelligence (ISAmI 2015). Advances in Intelligent Systems and Computing. Volumen 376, pp. 165-173.
Fecha de Publicación:
19 May 2015
ISSN:
2194-5357 (Print), 2194-5365 (Online)
ISBN:
978-3-319-19694-7 (Print), 978-3-319-19695-4 (Online)
The massive diffusion of smartphones and the exponential rise of location based services (LBS) have made the problem of localization and navigation inside buildings one of the most important technological challenges of the last years. Indoor positioning systems have a huge market in the retail sector and contextual advertising; moreover, they can be fundamental to increase the quality of life for the citizens. Various approaches have been proposed in scientific literature. Recently, thanks to the high performances of the smartphones’ cameras, marker-less and marked-based computer vision approaches have been investigated. In a previous paper, we proposed a technique for indoor navigation using both Bluetooth Low Energy (BLE) and a 2D visual markers system deployed into the floor. In this paper, we present a qualitative performance evaluation of three 2D visual markers suitable for real-time applications.