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Titel: Processing semantic information from procedural modelling rules for driving simulation
Verfasser: Braun, Daniel
Sprache: Englisch
Erscheinungsjahr: 2014
SWD-Schlagwörter: Künstliche Intelligenz
Fahrsimulator
Informatik
Freie Schlagwörter: procedural modelling
driving simulation
artificial intelligence
openDS
computer science
DDC-Sachgruppe: 004 Informatik
Dokumentart : Bachelorarbeit
Kurzfassung: 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 zu diesem Datensatz: urn:nbn:de:bsz:291-scidok-59347
hdl:20.500.11880/25471
http://dx.doi.org/10.22028/D291-25415
SciDok-Publikation: 20-Nov-2014
Fakultät: Sonstige Einrichtungen
Fakultät 6 - Naturwissenschaftlich-Technische Fakultät I
Fachrichtung: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
MI - Informatik
Fakultät / Institution:SE - Sonstige Einrichtungen

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