GIS-Based Virtual Testbeds and Their Application to Forestry and City Simulation

Roßmann, Jürgen; Schluse, Michael; Hoppen, Martin; Waspe, Ralf

doi:10.1115/winvr2010-3735

Cited by 3 publications

(2 citation statements)

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“…When thinking of geodata servers (GIS), available data does not only consist of geometry but also semantic data, describing the environment in more detail. Our simulation system is capable of interpreting data received from GIS servers in various ways to enhance the simulation [2,3]. Typically, information like land coverage, infrastructure or even vegetation types can be used to generate a grass map representing a realistic mapping of the real-world vegetation.…”

Section: Distributing Ground Vegetationmentioning

confidence: 99%

Generation and Rendering of Interactive Ground Vegetation for Real-Time Testing and Validation of Computer Vision Algorithms

Hempe

Roßmann

Sondermann

2013

ELCVIA

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During the development process of new algorithms for computer vision applications, testing and evaluation in real outdoor environments is time-consuming and often difficult to realize. Thus, the use of artificial testing environments is a flexible and cost-efficient alternative. As a result, the development of new techniques for simulating natural, dynamic environments is essential for real-time virtual reality applications, which are commonly known as Virtual Testbeds. Since the first basic usage of Virtual Testbeds several years ago, the image quality of virtual environments has almost reached a level close to photorealism even in real-time due to new rendering approaches and increasing processing power of current graphics hardware. Because of that, Virtual Testbeds can recently be applied in application areas like computer vision, that strongly rely on realistic scene representations. The realistic rendering of natural outdoor scenes has become increasingly important in many application areas, but computer simulated scenes often differ considerably from real-world environments, especially regarding interactive ground vegetation.In this article, we introduce a novel ground vegetation rendering approach, that is capable of generating large scenes with realistic appearance and excellent performance. Our approach features wind animation, as well as object-to-grass interaction and delivers realistically appearing grass and shrubs at all distances and from all viewing angles. This greatly improves immersion, as well as acceptance, especially in virtual training applications. Nevertheless, the rendered results also fulfill important requirements for the computer vision aspect, like plausible geometry representation of the vegetation, as well as its consistence during the entire simulation. Feature detection and matching algorithms are applied to our approach in localization scenarios of mobile robots in natural outdoor environments. We will show how the quality of computer vision algorithms is influenced by highly detailed, dynamic environments, like observed in unstructured, real-world outdoor scenes with wind and object-to-vegetation interaction.

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Section: Distributing Ground Vegetationmentioning

confidence: 99%

Generation and Rendering of Interactive Ground Vegetation for Real-Time Testing and Validation of Computer Vision Algorithms

Hempe

Roßmann

Sondermann

2013

ELCVIA

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“…With a flexible system that does not require expensive sources like hyperspectral data, input data can be chosen with regard to its benefit-cost ratio. The classification results from this study will be used to generate a semantic world model as part of the Virtual Forest testbed [Rossmann et al, 2010a], which can be used for robotic applications and forest management activities.…”

Section: Introductionmentioning

confidence: 99%

Tree Species Classification and Input Data Evaluation

Krahwinkler

Roßmann

2013

European Journal of Remote Sensing

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Semantic world models require detailed classifications that allow the generation of entities that represent real world objects. This study combines advanced binary support vector machine classifiers in the hierarchical structure of a binary decision tree. This approach fulfills the requirements of a subsequent semantic model generation approach as it is an object based approach that works on the single tree level. It is fast and can be applied easily without expert knowledge. The algorithm can be trained on existing tree sample inventory data and additional samples from other data sources can be imported or placed. Classification results were calculated on a variety of input data sources and spatial resolutions. The achieved accuracies were analyzed and provide information for the decision support regarding input data choice for future applications.

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A New 3DGIS Development Technology Research Based on the Sketchup and SuperMap Platform

Duan

Ling

2013

AMM

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Analysis the pros and cons with the current three-dimensional GIS development techniques, we proposed a new three-dimensional GIS development technology based on Google Earth, Sketchup and SuperMap software, to better achieve the virtual digital of the three-dimensional model. The Google Earth software gets the two-dimensional area to be modeling image which imports into Google Sketchup software, establishment of two-dimensional vector graphics, and then build roads and construction of three-dimensional models. Then, SuperMap component realizes the integration of spatial data and attribute data integration management, the realization of digital based on data collection, classification, storage of property data and management. Based on this, we applied the development technology to the virtual campus three-dimensional navigation system. In this, some technology flow charts are given. Finally, compared with some other three-dimensional GIS development technologies, a discussion and conclusion presented. We call to apply three-dimensional GIS navigation.

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GIS-Based Virtual Testbeds and Their Application to Forestry and City Simulation

Cited by 3 publications

References 0 publications

Generation and Rendering of Interactive Ground Vegetation for Real-Time Testing and Validation of Computer Vision Algorithms

Generation and Rendering of Interactive Ground Vegetation for Real-Time Testing and Validation of Computer Vision Algorithms

Tree Species Classification and Input Data Evaluation

A New 3DGIS Development Technology Research Based on the Sketchup and SuperMap Platform

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