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Aiert Amundarain Irizar

Publicaciones científicas más recientes (desde 2010)

Autores: Zubizarreta, Jon; Aguinaga, Iker, (Autor de correspondencia); Amundarain, Aiert;
ISSN 0268-3768  Vol. 102  Nº 9-12  2019  págs. 4095 - 4108
Nowadays, many companies see augmented reality (AR) as an important tool to provide new services related to their products. However, many challenges remain to be solved for the widely adoption of this technology, such as the development of suitable authoring tools and real-time and robust algorithms for the detection and tracking of objects where the virtual annotations will be anchored in the real world. This paper presents a complete framework, called ARgitu, to generate and present virtual and augmented information, including the tools required for the development of new contents. To solve the object detection and tracking in complex industrial environments, we also propose a new monocular method for 3D non-Lambertian object recognition in arbitrary environments. The method is based on the current state-of-the-art chamfer matching approaches with a reduced computational effort while maintaining their accuracy.
Autores: Matey, Luis Mariano, (Autor de correspondencia); Amundarain, Aiert; et al.
ISSN 1093-9687  Vol. 28  Nº 6  2013  págs. 465 - 480
Simulators provide significant advantages in training operators of concrete spraying machinery, such as economic savings, the practical absence of safety risks, and environmental and educational benefits. The main challenge in developing a real-time training simulator for concrete spraying machinery lies in the modeling of shotcrete application. This article presents a novel method that models and simulates in real time the three main factors influencing shotcrete sprayability: adhesion, cohesion, and rebound. Furthermore, thanks to the addition of an obstacle model, the method makes it possible to spray onto additional supporting elements, which is a typical shotcrete application. The proposed method considers a wet-mix thick flow spraying process and is based on experiments that were run with a real concrete spraying machine and complemented by expert advice. The method was developed and evaluated using a user-centered methodology, resulting in realistic shotcrete application modeling that meets the needs for training concrete spraying machinery operators.