Managing Complex Augmented Reality Models

Schmalstieg, Dieter; Schall, Gerhard; Wagner, Daniel; Barakonyi, Istvan; Reitmayr, Gerhard; Newman, Joseph; Ledermann, Florian

doi:10.1109/mcg.2007.85

Cited by 31 publications

(18 citation statements)

References 4 publications

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“…In contrast, others store the complete scene data like in our approach. Some of those also support a distribution mechanism for collaboration between the clients [28]- [32], while others only support single user or read-only usage [33], [34]. Different data schemata are only supported by few systems [30], [32], [34]- [36].…”

Section: Related Workmentioning

confidence: 99%

“…Some of those also support a distribution mechanism for collaboration between the clients [28]- [32], while others only support single user or read-only usage [33], [34]. Different data schemata are only supported by few systems [30], [32], [34]- [36]. Finally, data versioning is only provided using proprietary data schemata [33] or on file level using a CVS-like approach [35], [36].…”

Section: Related Workmentioning

confidence: 99%

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Distributed Information Processing and Rendering for 3D Simulation Applications

Hoppen¹,

Waspe²,

Rast³

et al. 2014

IJCTE

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Abstract-The growing demand for 3D simulation techniques in various application domains leads to more and more specialized tools and complex frameworks. Between homogeneous or inhomogeneous clients, data has to be distributed and synchronized in centralized or decentralized setups. Hardware/Software-in-the-Loop and Co-Simulation are common tasks in virtual prototyping. Load balancing and parallelization is necessary for computationally intensive simulations. Spatially distributed developers and designers collaborate in networked virtual environments. All these different applications impose different requirements on the data distribution and synchronization mechanism. In this paper, we categorize distribution scenarios, their requirements and according synchronization techniques. Four different approaches with different key aspects are presented and compared by means of a reference implementation and several application examples. This overview shall enable the reader to choose the approach best suited for his particular distribution problem.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Distributed Information Processing and Rendering for 3D Simulation Applications

Hoppen¹,

Waspe²,

Rast³

et al. 2014

IJCTE

View full text Add to dashboard Cite

show abstract

“…Some of these approaches support collaboration between clients (Schweber 1998), (Julier 2000), (Watanabe 2002), (Manoharan 2002), (Kaku 2005), (Walczak 2012), others do not (Vakaloudis 1998), (Schmalstieg 2007). Multiple data schemata are only supported by few systems (Watanabe 2002), (Schmalstieg 2007), (Walczak 2012), (Dassault Systèmes 2008), (Autodesk 2005). Finally, data versioning is only provided using proprietary data schemata (Vakaloudis 1998) or on file level using a CVS-like approach (Dassault Systèmes 2008), (Autodesk 2005).…”

Section: Related Workmentioning

confidence: 99%

Semantic World Modelling and Data Management in a 4d Forest Simulation and Information System

Roßmann

Hoppen

Bücken³

2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Various types of 3D simulation applications benefit from realistic forest models. They range from flight simulators for entertainment to harvester simulators for training and tree growth simulations for research and planning. Our 4D forest simulation and information system integrates the necessary methods for data extraction, modelling and management. Using modern methods of semantic world modelling, tree data can efficiently be extracted from remote sensing data. The derived forest models contain position, height, crown volume, type and diameter of each tree. This data is modelled using GML-based data models to assure compatibility and exchangeability. A flexible approach for database synchronization is used to manage the data and provide caching, persistence, a central communication hub for change distribution, and a versioning mechanism. Combining various simulation techniques and data versioning, the 4D forest simulation and information system can provide applications with "both directions" of the fourth dimension. Our paper outlines the current state, new developments, and integration of tree extraction, data modelling, and data management. It also shows several applications realized with the system.

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“…More sophisticated systems use the database to store the scene data itself, where some do support collaboration (Schweber, Erick Von 1998;Julier et al 2000;Watanabe and Masunaga 2002;Manoharan et al 2002;Kaku et al 2005;Walczak 2012) while others do not (Vakaloudis, A. and Theodoulidis, B. 1998;Schmalstieg et al 2007). A flexible support for different data schemata is not widespread among these systems (Watanabe and Masunaga 2002;Schmalstieg et al 2007;Walczak 2012;Dassault Systèmes 2008;Autodesk 2005).…”

Section: Related Workmentioning

confidence: 99%

Database-driven distributed 3D simulation

Hoppen

Schluse

Rosmann

et al. 2012

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)

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Distributed 3D simulations are used in various fields of application like geo information systems (GIS), space robotics or industrial automation. We present a new database-driven approach that combines 3D real-time simulation techniques with object-oriented data management. It consists of simulation clients that replicate from a central database object data as well as the data schema itself. The central database stores static and dynamic parts of a simulation model, distributes changes caused by the simulation, and logs the simulation run. Compared to standard decentralized methods this approach has several advantages like persistence for state and course of time, object identification, standardized interfaces for simulation, modeling and evaluation, as well as a consistent data schema and world model for the overall system, which at the same time serves as a means for communication.

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Managing Complex Augmented Reality Models

Cited by 31 publications

References 4 publications

Distributed Information Processing and Rendering for 3D Simulation Applications

Distributed Information Processing and Rendering for 3D Simulation Applications

Semantic World Modelling and Data Management in a 4d Forest Simulation and Information System

Database-driven distributed 3D simulation

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