This research is focused on the importance of using modern technologies in preserving and exploring Cultural Heritage (CH). Specifically, Augmented Reality (AR) has the potential to enhance the user experience related to cultural heritage. We briefly present the main technological approaches in CH and a state of the art in mobile augmented reality. The latest Software Development Kit (SDK) for building AR applications are reviewed and compared. The 3D object that participants could place in the real environment was obtained using photogrammetry, a popular and relatively easy to use digitization technique. The virtual object represents a fortified church and is part of a group of UNESCO monuments from the historical and ethnographical region called "Țara Bârsei", located in Brasov, Romania. We also provided some guidelines to ensure an accurate 3D reconstruction of any object. We assess users' perception regarding two mobile AR applications, one based on Project Tango while the other was developed using ARCore. Results confirm that AR improves user experience and increases the enjoyment of learning about cultural heritage.

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This work aims to examine the reliability of smartphones that incorporate 3D depth sensors for 3D reconstruction of cultural heritage objects. The main focus is to compare the models generated with two image-based methods: photogrammetry and Tango Constructor application. The result are promising, showings that Tango-based method is an efficient way for 3D reconstruction of historical artifacts and is able to provide morphometric data comparable with photogrammetry-based data. The method can provide restorers a quick way to record vast amount of data, combined with sufficient accuracy and ease-of-use and this make it a potential alternative to conventional methods, like photogrammetry or laser scanning.

Technological advances are changing every aspect of our lives, from the way we work, to how we learn and communicate. Advanced driver assistance systems (ADAS) have seen an increased interest due to the potential of ensuring a safer environment for all road users. This study investigates the use of a smartphone-based ADAS in terms of driving performance and driver acceptance, with the aim of improving road safety. The mobile application uses both cameras of a smartphone to monitor the traffic scene and the driver’s head orientation, and offers an intuitive user interface that can display information in a standard mode or in augmented reality (AR). A real traffic experiment consisting of two driving conditions (a baseline scenario and an ADAS scenario), was conducted in Brasov, Romania. Objective and subjective data were recorded from twenty-four participants with a valid driver’s license. Results showed that the use of the ADAS influences the driving performance, as most of them adopted an increased time headway and lower mean speeds. The technology acceptance model (TAM) questionnaire was used to assess the users’ acceptance of the proposed driver assistance system. The results showed significant interrelations between acceptance factors, while the hierarchical regression analysis indicates that the variance of behavioral intention (BI) can be predicted by attitude toward behavior.

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