Please use this identifier to cite or link to this item: doi:10.22028/D291-25415
Title: Processing semantic information from procedural modelling rules for driving simulation
Author(s): Braun, Daniel
Language: English
Year of Publication: 2014
SWD key words: Künstliche Intelligenz
Free key words: procedural modelling
driving simulation
artificial intelligence
computer science
DDC notations: 004 Computer science, internet
Publikation type: Other
Abstract: Driving simulators are a safe and cheap way to evaluate automotive user interfaces, which is otherwise often not only very expensive but also dangerous and restricted by laws. But the creation of realistic simulation environments, especially for urban areas, can be very expensive too. So called procedural modelling is an approach to solve this problem by rule-based generation of models. Although there is a lot of information in these rules that could be useful for simulations, this information usually gets lost during the export process. This thesis compares different driving simulators and procedural modelling applications, presents an approach to make use of the information contained in the procedural modelling rules and shows how this information could be processed using CityEngine, a tool for procedural modelling, and OpenDS, an open-source driving simulator.
Link to this record: urn:nbn:de:bsz:291-scidok-59347
Date of registration: 20-Nov-2014
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
MI - Informatik
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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