Database-driven distributed 3D simulation

Hoppen, Martin; Schluse, Michael; Rosmann, Jurgen; Weitzig, Björn

doi:10.1109/wsc.2012.6465091

Cited by 13 publications

(7 citation statements)

References 5 publications

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“…This encapsulation as KVPairs leads to easier DSL modelling concepts as the code generation for accessing simulation state as well as for simulation component data exchange can be represented by simply delivering the corresponding key for read and write access. Current virtual testbed data storage approaches even use full-fledged SQL databases [17][15] [5]. In contrast to our KVPool, such approaches would make code generation way more complicated as complete SQL-queries would need to be generated for accessing the simulation state.…”

Section: Domain Framework and Data Flowmentioning

confidence: 99%

Multi Agent System Optimization in Virtual Vehicle Testbeds

Lange¹,

Weller²,

Zachmann³

2015

Proceedings of the Eighth EAI International Conference on Simulation Tools and Techniques

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Modelling, simulation, and optimization play a crucial role in the development and testing of autonomous vehicles. The ability to compute, test, assess, and debug suitable configurations reduces the time and cost of vehicle development. Until now, engineers are forced to manually change vehicle configurations in virtual testbeds in order to react to inappropriate simulated vehicle performance. Such manual adjustments are very time consuming and are also often made ad-hoc, which decreases the overall quality of the vehicle engineering process. In order to avoid this manual adjustment as well as to improve the overall quality of these adjustments, we present a novel comprehensive approach to modelling, simulation, and optimization of such vehicles. Instead of manually adjusting vehicle configurations, engineers can specify simulation goals in a domain specific modelling language. The simulated vehicle performance is then mapped to these simulation goals and our multi-agent system computes for optimized vehicle configuration parameters in order to satisfy these goals. Consequently, our approach does not need any supervision and gives engineers visual feedback of their vehicle configuration expectations. Our evaluation shows that we are able to optimize vehicle configuration sets to meet simulation goals while maintaining real-time performance of the overall simulation.

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Section: Domain Framework and Data Flowmentioning

confidence: 99%

Multi Agent System Optimization in Virtual Vehicle Testbeds

Lange¹,

Weller²,

Zachmann³

2015

Proceedings of the Eighth EAI International Conference on Simulation Tools and Techniques

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“…As mentioned in the introduction, we also developed a database-driven approach for distributed 3D simulation [2]. Here, a central external database (generically called ExtDB) is used for data management, communication and versioning, providing a Central World Model (CWM) as introduced in [9].…”

Section: Database Synchronization (Dbsync)mentioning

confidence: 99%

“…Thus, an integrated approach for data management as well as communication should be favored. In [2], we propose such an approach where a central database is not only used to manage the shared simulation model but also to serve as an active communication hub.…”

Section: Introductionmentioning

confidence: 99%

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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“…As previously introduced in (Hoppen 2010) and (Hoppen 2012), an approach for database synchronization can be used to connect a 3D simulation system with a central database ( Figure 7). The 3D simulation system's runtime database is used as realtime capable cache that drives the 3D simulation itself.…”

Section: Database Synchronizationmentioning

confidence: 99%

“…More details on database synchronization and the used databases VSD and SupportGIS Java (SGJ) are given in (Hoppen 2012). …”

Section: Database Synchronizationmentioning

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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Database-driven distributed 3D simulation

Cited by 13 publications

References 5 publications

Multi Agent System Optimization in Virtual Vehicle Testbeds

Multi Agent System Optimization in Virtual Vehicle Testbeds

Distributed Information Processing and Rendering for 3D Simulation Applications

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

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