Visualisierung

Visualisierung veranschaulicht Daten und ist ein grundlegendes Werkzeug für die Analyse und das Verstehen von komplexen Sachverhalten in unterschiedlichsten Bereichen.

Interaktive Visualisierung erlaubt dem Betrachter ein exploratives „Eintauchen“ in die Daten und schafft die Grundlage für den vom Anwender gesteuerten visuellen Analyseprozess. Die Nutzung, der bei vielen Daten inhärenten räumlichen Bezüge, ist die Basis für umfassende raumbezogene Visualisierungen. Dadurch entstehen intuitiv zu verstehende kartenbasierte Darstellungen, welche in Entscheidungsfindungsprozessen von zunehmender Relevanz sind.

Das Institut beschäftigt sich intensiv mit der Thematik der interaktiven raumbezogenen Visualisierung in unterschiedlichen Anwendungsfeldern. Dazu zählen Controlling, Security, Social Media und das Gesundheitswesen. Die Forschungs- und Entwicklungsarbeiten konzentrieren sich insbesondere auf Geovisual Analytics Anwendungen, auch unter Berücksichtigung von mobilen Endgeräten.

Ansprechpartner

Prof. Dr.-Ing. Klaus Böhm

Tel.: +49 6131-628-1431
Fax.: +49 6131-628-91431

Meldungen

Alexander Rolwes referiert am 25.11.20 beim 8. Deutschen Geoforum in Berlin über die räumliche Analyse ML basierter Parkplatzvorhersagen

08.09.2020

Projekte

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Publikationen

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Künstliche Intelligenz als Strategie in der Ingenieurgeodäsie – erste Schritte im Bahnumfeld

2020

B. Plaß; K. Zschiesche; T. Altinbas; D. Karla; L. Rau; M. Schlüter

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zfv – Zeitschrift für Geodäsie, Geoinformation und Landmanagement

Für die Arbeiten im Gleisbereich ist ein System zur Erfassung von Zugfahrten unverzichtbar. Künstliche Intelligenz kann einen Teil dazu beitragen. Im Folgenden wird ein erster Ansatz, basierend auf Deep Learning Technologie, vorgestellt, welcher auf Grundlage von Bilddaten automatisch Züge detektiert und so zu mehr Sicherheit im Gleisbereich beitragen kann. Darüber hinaus ist eine Softwarelösung entwickelt worden, welche den umfangreichen und bisher arbeitsintensiven Datenvorbereitungsaufwand signifikant reduziert. Im vorliegenden Beitrag werden das Potenzial und die flexible Einsetzbarkeit von Künstlicher Intelligenz im ingenieurgeodätischen Kontext aufgezeigt.

A system for recording train rides for work in the track area is crucial. The usage of Artificial Intelligence contributes to this. In the following article a first approach based on Deep Learning is presented, that automatically detects trains on the base of image data and can lead to more safety in the track area. In addition, a software has been developed that reduces the extensive and work-intensive data preparation effort significantly. This article presents the potential and the flexible deployment of Artificial Intelligence in the engineering geodetic domain.

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i3mainz - Jahresbericht 2018

2019

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Jahrebericht 2018

Im Jahresbericht werden die Projekte und Aktivitäten des i3mainz in komprimierter Form vorgestellt.

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Semantische Geoinformationssysteme: Integration heterogener Geodaten am Beispiel XErleben

2018

T. Homburg; C. Prudhomme; F. BOOCHS

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n.A.

This poster has been presented during the conference Der Fachaustausch Geoinformation (http://www.fachaustausch-geoinformation.de/) organized by GeoNet.MRN to exhibit the semantic geographic information system developed in the context of SemGIS project. The poster shows the approaches used to integrate heterogeneous data sets from different sources. These data sets can then, be enriched through resources from the Semantic Web. An example of such enrichment is presented from an integrated XErleben data. Finally, it illustrates the functionalities of the system to query and visualize data, but also the downlift of selected data according to different standardized formats.

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Terrain difficulty as a relevant proxy for objectifying mobility patterns and economic behaviour in the Aurignacian of the Middle Danube region: the case of Stratzing (Austria)

2017

L. Moreau; G. Heinz; A. Cramer; M. Brandl; O. Schmitsberger; C. Neugebauer-Maresch

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The Exploitation of Raw Materials in Prehistory: Sourcing, Processing and Distribution

This paper addresses the factors that conditioned the choices in lithic resource procurement for tool making at the Late Aurignacian site of Stratzing-Galgenberg (Austria), based on the lithic assemblage from the main area of the site. The raw materials used in the analysed assemblage are varied and partly relate to various local and non-local proveniences. The importance of non-local flint in the assemblage contradicts the distance decay model according to which the amount of a given raw material decreases with the increasing distance from its source. Drawing on the approach developed recently by Lucy Wilson, we examine the predictive ability of “source attractiveness” with respect to terrain difficulty and energy expenditure to understand why some sources were used more than others, using a Geographic Information System (GIS). Our results indicate that terrain difficulty and mobility costs matter and have a better predictive ability than Euclidean distance alone to explain assemblage variability in the Aurignacian of the Middle Danube region.

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How to optimally record cultural heritage objects? Decision support through connected knowledge.

2017

S. Wefers; A. Karmacharya; F. Boochs; G. Heinz

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EVA Berlin 2017. Elektronische Medien & Kunst, Kultur und Historie 24. Berliner Veranstaltung der internationalen EVA-Serie Electronic Media and Visual Arts, 2017

Optical recording of material cultural heritage (CH) is a multidisciplinary activity where the understanding of cross-disciplinary semantics is vital for a successful completion. In many cases, a lack of understanding of transdisciplinary semantics slows this process down. The end users who are mostly humanities experts lack the technical knowledge of spatial and spectral recording and could therefore demand more than what is actually required or sufficient for the intended CH application. The negotiations between technical experts and the end users are a tedious process. We present a semantic-based decision support system, COSCH^KR, that employs reasoning and recommends optimal recording technology(ies) according to the application requirements of the recorded and processed data. COSCH^KR is an ontology-based knowledge model that implies the development of semantic technologies within the Semantic Web framework. It represents formalized knowledge of the disciplines involved in the process of optical recording of material CH. The paper describes the applicability of the model in spatial, spectral, and visualization applications and summarises current possibilities and challenges.

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Digital 3D reconstructed models A proposition for structuring visualisation workflows using semantic technologies for recommendations

2017

S. Wefers; A. Karmacharya; M. Pfarr-Harfst; F. BOOCHS

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Studies in Digital Heritage

It is common for cultural heritage applications to use spatial and/or spectral data for documentation, analysis and visualisation. Knowledge on data requirements coming from the cultural heritage application and technical alternatives to generate the required data based on object characteristics and other influencings factors paves the way for the optimal selection of a recording technology. It is a collaborative process requiring knowledge of experts from cultural heritage domains and technical domains. Currently, this knowledge is structured and stored in an ontology (so-called COSCHKR). It has the purpose to support CH experts not familiar with technologies through prescribing an optimal spatial or spectral recording strategy adapted to the physical characteristics of the cultural heritage object and the data requirements of the targeted CH application. The creation of digital 3D reconstructed models for analysis and visualisation purposes is getting more and more common within humanities disciplines. Therefore, an implementation of mechanisms involved in visualisation applications into this ontology would have huge benefits in creating a powerful recommendation solution. A structured view on such project workflows facilitates a rough match with the existing knowledge representation. Illustrating the overall structure of COSCHKR, this paper addresses and discusses challenges in structuring the processes of cultural heritage visualisation and implementing these into the ontology.

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Digital 3D reconstructed models: Using semantic technologies for recommendations in visualization applications

2017

S. Wefers

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Studies in Digital Heritage

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Wall Paintings in the Château de Germolles: An Interdisciplinary Project for the Rediscovery of a Unique Fourteenth-Century Decoration

2017

C. Degrigny; F. Piqué

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A. Bentkowska-Kafel, L. MacDonald (eds), Digtial Techniques for Documenting and Preserving Cultural Heritage

The aim of this study was to examine and document the wall paintings in the Château de Germolles. Situated in Burgundy, France, Germolles is the best preserved residence of the Dukes of Burgundy and was listed as a monument of national importance in 1989.
The medieval wall decoration of the Château de Germolles was rediscovered under the nineteenth-century plasters during World War II. Medieval accounts of the château provide a detailed list of the materials acquired to make the mural decoration, but this list is incongruous when compared with the current appearance of the paintings. The discrepancy between the archival and material evidence, and also the need to understand the complexity of the painting technique used were the main motivations for undertaking the case study described in this chapter. Imaging alongside more traditional examination techniques were utilized to record and document the mural decoration. The objectives of the case study were to distinguish the original materials from those applied during restoration, identify those materials, and correlate them with the archives. We also tried to understand the medieval painting techniques used and assess the condition of the paintings and stabilization requirements. Finally we aimed to find a sustainable solution for the management of the various types of data collected. Various techniques and investigations offered valuable insights into the materials and the painting technique used. To improve visitor experience, based on the information gained in the course of this study, a 3D virtual representation of the original decoration is currently proposed for display to the public visiting the Château de Germolles.

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