A Generative Approach to Light Placement for Street Lighting

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dc.contributor.authorEvangelou, Iordanisen_US
dc.contributor.authorVitsas, Nicken_US
dc.contributor.authorPapaioannou, Georgiosen_US
dc.contributor.authorGkaravelis, Anastasiosen_US
dc.contributor.editorHu, Ruizhenen_US
dc.contributor.editorCharalambous, Panayiotisen_US
dc.date.accessioned2024-04-30T08:19:22Z
dc.date.available2024-04-30T08:19:22Z
dc.date.issued2024
dc.description.abstractThe design of plausible and effective street lighting configurations for arbitrary urban sites should attain predetermined illuminance levels and adhere to specific layout intentions and functional requirements. This task can be time consuming, even for automated solutions, since there exists an one-to-many mapping between illumination goals and lighting options. In this work, we propose a generative approach for this task, based on an adversarial optimisation scheme. Our proposed method effectively overcomes these task-specific limitations by providing a range of viable solutions that adhere to the input constraints and can be generated within an interactive design life cycle.en_US
dc.description.sectionheadersRendering and Optimization
dc.description.seriesinformationEurographics 2024 - Short Papers
dc.identifier.doi10.2312/egs.20241031
dc.identifier.isbn978-3-03868-237-0
dc.identifier.issn1017-4656
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/egs.20241031
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/egs20241031
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Graphics systems and interfaces; Artificial intelligence
dc.subjectComputing methodologies → Graphics systems and interfaces
dc.subjectArtificial intelligence
dc.titleA Generative Approach to Light Placement for Street Lightingen_US
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