Procedural Generation of Traffic Signs

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dc.contributor.authorTaal, Fieke C.en_US
dc.contributor.authorBidarra, Rafaelen_US
dc.contributor.editorVincent Tourre and Filip Biljeckien_US
dc.date.accessioned2016-12-07T17:24:00Z
dc.date.available2016-12-07T17:24:00Z
dc.date.issued2016
dc.description.abstractProcedurally-generated virtual urban worlds typically miss plausible signaling objects on the road network, unless they were manually inserted. We present a solution to the problem of procedurally populating a given urban road network with plausible traffic signs. Our tagged graph approach analyzes the road network using a rule-based reasoning mechanism that represents relevant traffic rules, in order to identify potential sign locations. Eventually, a context-based reduction step helps choose the most suitable candidates, taking into account a variety of real-world rules, and determines their actual place and orientation. We discuss the performance and validation of our approach, and conclude that its generality and flexibility make it a very convenient extension to many procedural urban environment applications.en_US
dc.description.sectionheadersModelling
dc.description.seriesinformationEurographics Workshop on Urban Data Modelling and Visualisation
dc.identifier.doi10.2312/udmv.20161415
dc.identifier.isbn978-3-03868-013-0
dc.identifier.issn2307-8251
dc.identifier.pages17-23
dc.identifier.urihttps://doi.org/10.2312/udmv.20161415
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/udmv20161415
dc.publisherThe Eurographics Associationen_US
dc.subject[Computing methodologies]
dc.subjectComputer graphics
dc.subjectShape modeling [Computing methodologies]
dc.subjectArtificial intelligence
dc.subjectKnowledge representation and reasoning
dc.titleProcedural Generation of Traffic Signsen_US
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UDMV16: Eurographics Workshop on Urban Data Modelling and Visualisation