Comparison of Different Remote Sensing Methods for 3D Modeling of Small Rock Outcrops

This paper reviews the use of modern 3D image-based and Light Detection and Ranging (LiDAR) methods of surface reconstruction techniques for high fidelity surveys of small rock outcrops to highlight their potential within structural geology and landscape protection. LiDAR and Structure from Motion (SfM) software provide useful opportunities for rock outcrops mapping and 3D model creation. The accuracy of these surface reconstructions is crucial for quantitative structural analysis. However, these technologies require either a costly data acquisition device (Terrestrial LiDAR) or specialized image processing software (SfM). Recent developments in augmented reality and smartphone technologies, such as increased processing capacity and higher resolution of cameras, may offer a simple and inexpensive alternative for 3D surface reconstruction. Therefore, the aim of the paper is to show the possibilities of using smartphone applications for model creation and to determine their accuracy for rock outcrop mapping.O

Augmented Reality in Historical Museum: A case study at Fjell Fortress

Over the years, there has been development in using the technologies in historical museums for various reasons. The recent development of smartphones and computer graphics has enabled us to provide a new way of interaction between the artifacts and visitors. Augmented Reality provides a platform to add a third dimension to displays bringing the scene to life. It is gaining popularity among the users because of its beneficial features to engage the users. Therefore this thesis aims to investigate the use of Augmented Reality in Fjell Fortress to assist the visitors. A comparative study of different Augmented Reality frameworks is done, and ARCore is chosen to develop a mobile application. A detailed study with the features of ARCore is performed to get an understanding of the framework. The features to reconstruct the past, an indoor and outdoor guide to the Fortress, are developed. Finally, the personal experience is used to discuss the challenges and limitations of the technology in developing the application, and an online survey is used to evaluate the applicability and usability of the application.Master's Thesis in InformaticsINF399MAMN-INFMAMN-PRO

Evaluating indoor positioning systems in a shopping mall : the lessons learned from the IPIN 2018 competition

The Indoor Positioning and Indoor Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically. The objective of this competition is to establish a systematic evaluation methodology with rigorous metrics both for real-time (on-site) and post-processing (off-site) situations, in a realistic environment unfamiliar to the prototype developers. For the IPIN 2018 conference, this competition was held on September 22nd, 2018, in Atlantis, a large shopping mall in Nantes (France). Four competition tracks (two on-site and two off-site) were designed. They consisted of several 1 km routes traversing several floors of the mall. Along these paths, 180 points were topographically surveyed with a 10 cm accuracy, to serve as ground truth landmarks, combining theodolite measurements, differential global navigation satellite system (GNSS) and 3D scanner systems. 34 teams effectively competed. The accuracy score corresponds to the third quartile (75th percentile) of an error metric that combines the horizontal positioning error and the floor detection. The best results for the on-site tracks showed an accuracy score of 11.70 m (Track 1) and 5.50 m (Track 2), while the best results for the off-site tracks showed an accuracy score of 0.90 m (Track 3) and 1.30 m (Track 4). These results showed that it is possible to obtain high accuracy indoor positioning solutions in large, realistic environments using wearable light-weight sensors without deploying any beacon. This paper describes the organization work of the tracks, analyzes the methodology used to quantify the results, reviews the lessons learned from the competition and discusses its future

AUGMENTED REALITY MEASUREMENT SEDERHANA MENGGUNAKAN OS ANDROID (ARealSure)

Aplikasi pengukuran telah banyak digunakan di sistem IOS maupun android. Namun, aplikasi pengukuran berbasis android tidak sebaik dengan aplikasi pengukuran berbasis sistem IOS. Beberapa orang masih meragukan keakuratan aplikasi ini karena terkadang hasil pengukuran tidak akurat dan masih banyak eror atau bug. Tujuan dari kegiatan ini adalah untuk mengembangkan aplikasi pengukuran berbasis android dengan tingkat keakuratan 90%. Apikasi pengukuran ini menerapkan AR (Augmented Reality). Proses pembuatan aplikasi menggunakan software android studio, library dan ARcore. Untuk Bahasa pemrograman yang digunakan yaitu Java Output. Pertimbangan menggunakan perangkat tersebut aplikasi pengukuran untuk smartphone berbasis Android dapat mengukur atau mengetahui dimensi benda bangun datar dan bangun ruang dengan satuan cm dan hasil pengukuran yang akurat. Kata Kunci: Augmented Reality, Android, Aplikasi, Pengukuran, Akur

Development of Application Based on Augmented Reality as A Learning of History and Culture in Architecture Case Study Pathok Negoro Mosques Yogyakarta

Pathok Negoro Mosques is an architectural masterpiece. These mosques are part of history in forming Yogyakarta. The existence of the Sultan’s Ngayogyakarta Palace is inseparable from the Pathok Negoro Mosques building. These mosques also have a function as a defensive system of the Islamic kingdom in Yogyakarta. Arguably, the current generation is getting deprived of the intellectual heritage of culture and history. The history and culture of the Pathok Negoro Mosques will be the content of this research. This research aims to develop an interactive application for learning the history and culture of architecture based on augmented reality. Augmented reality applications developed using unity. This research is proposed to be carried out in 2 stages. The first stage is related to the collection of the historical and cultural context of the mosque. The second stage is the development of an AR application for Android mobile devices. The reference data was made into the AR application with several methods, such as plane detection and image tracking. The research managed to develop a mobile augmented reality application in Unity3D 2018.3.14f1 for android devices that consists of the narrative recorded voice of brief history and culture the Pathok Negoro Mosques. The app also shows a well-ordered animation of building structure such as roof, roof insulation, roof structure and column of Pathok Negoro Mosques. Moreover, the research showed a clear step and issue of making an augmented reality app as learning of history and culture of Pathok Negoro Mosque

PLAYFOOD AR

Treball final de Grau en Disseny i Desenvolupament de Videojocs. Codi: VJ1241. Curs acadèmic: 2019/2020This document tries to explain a new application focused on catering, powered by the most innovative technologies and accompanied by the idea of using gamification as a form of loyalty through the video games

Önwall AR Tool

Antud bakalaureusetöös kirjeldatakse Android liitreaalsuse rakenduse arendamist ja testimist Önwall jaoks. Rakendusega saab vaadata ruumi, kus valitud seinale on paigutatud virtuaalsed mosaiikplaadid. Sarnaseid rakendusi on analüüsitud ja võrreldud. Järgnevalt on soovitud rakenduse kasutajakogemuse disain loodud ja kirjeldatud. Pärast seda tutvustatakse lühidalt Unity ja ARCore, millega loodi rakendus. Sellele järgneb rakenduse süsteemiarhitektuuri kirjeldus. Bakalaureusetöö lõppeb kasutajatestidega, leitud probleemidega ja võimalike edasiarendustega.This thesis describes the development and testing of an Android augmented reality application for the company Önwall. The application allows a user to view a room with Önwall's mosaic tiles virtually placed on a selected real wall. Alternative applications are first analyzed and compared in the thesis. Then the user experience design of the requested application is developed and described, required features specified. After that, Unity and ARCore are brought up as the tools used to develop the application. This is followed with the details about the architectural implementation of the application. The thesis ends with descriptions of the user testing, found usability issues and potential future improvements

Monitoring social distancing with single image depth estimation

The recent pandemic emergency raised many challenges regarding the countermeasures aimed at containing the virus spread, and constraining the minimum distance between people resulted in one of the most effective strategies. Thus, the implementation of autonomous systems capable of monitoring the so-called social distance gained much interest. In this paper, we aim to address this task leveraging a single RGB frame without additional depth sensors. In contrast to existing single-image alternatives failing when ground localization is not available, we rely on single image depth estimation to perceive the 3D structure of the observed scene and estimate the distance between people. During the setup phase, a straightforward calibration procedure, leveraging a scale-aware SLAM algorithm available even on consumer smartphones, allows us to address the scale ambiguity affecting single image depth estimation. We validate our approach through indoor and outdoor images employing a calibrated LiDAR + RGB camera asset. Experimental results highlight that our proposal enables sufficiently reliable estimation of the inter-personal distance to monitor social distancing effectively. This fact confirms that despite its intrinsic ambiguity, if appropriately driven single image depth estimation can be a viable alternative to other depth perception techniques, more expensive and not always feasible in practical applications. Our evaluation also highlights that our framework can run reasonably fast and comparably to competitors, even on pure CPU systems. Moreover, its practical deployment on low-power systems is around the corner.Comment: Accepted for pubblication on IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI