Despite the increasing use of new measuring platforms and computer modeling techniques, the implementation of 3D building models in smart tourism services is still limited, focusing more on the results of scientific projects rather than on the implementation of the new ones. It also creates an opportunity to preserve the architectural heritage and preventive maintenance of buildings. 3D modeling provides a new opportunity to use AR/MR technology to present information about objects, virtual tours of the historic buildings, and their promotion. 3D models are an important element of this process as they form the basis for the use of new visualization technologies, such as Virtual, Mixed, and Augmented Reality (VR/MR/AR). Information technologies offer new opportunities for the development of the services market, including the development of smart tourism services, as an integral part of the smart city concept. These are major barriers limiting the development of modern tourist platforms that promote local attractions.
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It requires the use of expensive equipment and often manual work as well as professional software. The acquisition of data for 3D object modeling is a complicated, time-consuming, and cost-intensive process. Even small Unmanned Aerial Vehicles (UAV) can deliver valuable data for the inventory of inaccessible and dangerous areas or objects. Unmanned Aerial Systems (UAS) are widely used in low-cost photogrammetry. Finally, we discuss preliminary results to minimize the risk of accidents when using augmented reality applications in an outdoor urban environment. We also measured the total time that participants spent looking at the screen, as well as the perceived elapsed time as a measurement of real world dissociation. The results show that the effectiveness of these guidance systems depend on the distance to the point of interest and the accuracy of the data obtained from the Global Positioning System. We tested the helpfulness of a map with the points of interest, an image preview of the next point of interest to visit, and an arrow showing the direction to it. We show that different guidance systems can be supplementary to provide directions to a point of interest and offer clues that help the user find the augmented data when they get close to the location they have to visit. The success of augmented reality applications for pedestrians depends on different factors including a reliable guidance system and preventing risks.
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