Exploring Resource Distribution Networks in Virtual Environments

Victor Parque*, Tomoyuki Miyashita

*この研究の対応する著者

研究成果: Conference contribution

抄録

Finding optimal resource distribution networks implies the iterative sampling of network topologies that avoid overlapping paths and crossings with obstacles. This paper presents an approach to aid the search for minimal networks by visualizing the deployment of networks in virtual environments through a VR headset, enabling the possibility of natural and intuitive navigation (translation and rotation) to visualize the topology of the optimal resource distribution in a virtual environment. Our proposed approach has the potential to enable the interactive design of distribution networks in virtual domains. We present several examples showing the feasibility of our system.

本文言語English
ホスト出版物のタイトルProceedings - 2022 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2022
出版社Institute of Electrical and Electronics Engineers Inc.
ページ203-206
ページ数4
ISBN(電子版)9781665457255
DOI
出版ステータスPublished - 2022
イベント5th IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2022 - Virtual, Online, United States
継続期間: 2022 12月 122022 12月 14

出版物シリーズ

名前Proceedings - 2022 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2022

Conference

Conference5th IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2022
国/地域United States
CityVirtual, Online
Period22/12/1222/12/14

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • ハードウェアとアーキテクチャ
  • メディア記述
  • モデリングとシミュレーション

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