Development of Location Information Service App Using an Open Source for Augmented Reality

Author(s):  
Jeong-Gi Son ◽  
Bok-Gyu Joo
Author(s):  
Rompapas Damien Constantine ◽  
Daniel Flores Quiros ◽  
Charlton Rodda ◽  
Bryan Christopher Brown ◽  
Noah Benjamin Zerkin ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
pp. 279-299
Author(s):  
Christoph Welker ◽  
Thomas Röösli ◽  
David N. Bresch

Abstract. With access to claims, insurers have a long tradition of being knowledge leaders on damages caused by windstorms. However, new opportunities have arisen to better assess the risks of winter windstorms in Europe through the availability of historic footprints provided by the Windstorm Information Service (Copernicus WISC). In this study, we compare how modelling of building damages complements claims-based risk assessment. We describe and use two windstorm risk models: an insurer's proprietary model and the open source CLIMADA platform. Both use the historic WISC dataset and a purposefully built, probabilistic hazard event set of winter windstorms across Europe to model building damages in the canton of Zurich, Switzerland. These approaches project a considerably lower estimate for the annual average damage (CHF 1.4 million), compared to claims (CHF 2.3 million), which originates mainly from a different assessment of the return period of the most damaging historic event Lothar–Martin. Additionally, the probabilistic modelling approach allows assessment of rare events, such as a 250-year-return-period windstorm causing CHF 75 million in damages, including an evaluation of the uncertainties. Our study emphasizes the importance of complementing a claims-based perspective with a probabilistic risk modelling approach to better understand windstorm risks. The presented open-source model provides a straightforward entry point for small insurance companies.


Author(s):  
Michael VanWaardhuizen ◽  
James Oliver ◽  
Jesus Gimeno

The AugmenTable is a desktop augmented reality workstation intended for conceptual design and prototyping. It combines a thin form factor display, inexpensive web cameras, and a PC into a unique system that enables natural interaction with virtual and physical parts. This initial implementation of the AugmenTable takes advantage of the popular open source augmented reality software platform ARToolkit to enable manual interaction with physical parts, as well as interaction with virtual parts via a physically marked pointer or a color-marked fingertip. This paper describes similar previous work, the methods used to create the AugmenTable, the novel interaction it affords users, and a number of avenues for advancing the system in the future.


2020 ◽  
Author(s):  
Christoph Welker ◽  
Thomas Röösli ◽  
David N. Bresch

Abstract. With access to claims, insurers have a long tradition of being knowledge leaders on damages caused by e.g. windstorms. However, new opportunities have arisen to better assess the risks of winter windstorms in Europe through the availability of historic footprints provided by the Windstorm Information Service (Copernicus WISC). In this study, we compare how modelling of building damages complements claims-based risk assessment. We describe and use two windstorm risk models: the insurer's proprietary model and the open source CLIMADA platform. Both use the historic WISC dataset and a purposefully-built, probabilistic hazard event set of winter windstorms across Europe to model building damages in the canton of Zurich, Switzerland. These approaches project a considerably lower estimate for the annual average damage (CHF 1.4 million), compared to claims (CHF 2.3 million), which originates mainly from a different assessment of the return period of the most damaging historic event Lothar/Martin. Additionally, the probabilistic modelling approach allows assessing rare events, such as a 250-year return period windstorm causing CHF 75 million damages. Our study emphasises the importance of complementing a claims-based perspective with a probabilistic risk modelling approach to better understand windstorm risks. The presented open source model provides a straightforward entry point for small insurance companies.


2012 ◽  
Vol 12 (1) ◽  
pp. 2-7 ◽  
Author(s):  
Jozef Barna ◽  
Veronika Fecova ◽  
Jozef Novak-Marcincin ◽  
Jozef Torok

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