There has been a growing demand to strengthen existing disaster prevention education tobe prepared for the huge tsunami expected to occur in the near future. Virtual reality, which allows people to virtually experience natural disasters, has a strong potential in fostering disaster awareness among citizens. However, it requires enormous human and time resources to map the texture of structures to urban area-imitating virtual space. On the other hand, pix2pixHD proposed by Wang et al. can generate high-resolution synthetic images by learning from reference images, label data, and object boundary data. In this study, we applied pix2pixHD and transfer learning, which diverts networks trained on other similar domains, to verify texture mapping of urban areas in Japan from a limited set of image data.
"},{"@language":"ja","@value":"近い将来発生が予想される巨大津波に向け，既存の防災教育を強化・改善を求める声が大きくなりつつある．自然災害を仮想的に体験出来るVRは，市民の防災意識醸成に極めて有効であることが実証されつつあり，現実と仮想を重畳した新たな防災教育コンテンツが期待されている．しかし，都市部を模した仮想空間の創造には、構造物の写実的なテクスチャをマッピングする必要があり，莫大な人的・時間のコストを要する．ここで，Wangらが提案したpix2pixHDは，教師画像及び，ラベルデータ，物体境界データを学習することによって，高解像度の写実的な画像を生成出来ることが示された．本研究では，このpix2pixHDと他の類似領域で学習したネットワークを転用する転移学習を用いて，日本国内の限定的な画像データから，日本国内の都市域テクスチャマッピングを実施した．
"}],"abstractLicenseFlag":"disallow"}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1410012638715522561","@type":"Researcher","foaf:name":[{"@language":"en","@value":"NISHIMURA Kazuya"},{"@language":"ja","@value":"西村 和也"}],"jpcoar:affiliationName":[{"@language":"ja","@value":"九州大学大学院 システム情報科学府情報知能工学専攻"}]},{"@id":"https://cir.nii.ac.jp/crid/1410012638715522562","@type":"Researcher","foaf:name":[{"@language":"en","@value":"ASAI Mistuteru"},{"@language":"ja","@value":"浅井 光輝"}],"jpcoar:affiliationName":[{"@language":"ja","@value":"九州大学 工学研究院社会基盤部門"}]},{"@id":"https://cir.nii.ac.jp/crid/1410012638715522560","@type":"Researcher","foaf:name":[{"@language":"en","@value":"BISE Ryoma"},{"@language":"ja","@value":"備瀬 竜馬"}],"jpcoar:affiliationName":[{"@language":"ja","@value":"九州大学大学院 システム情報科学研究院情報知能工学部門"}]},{"@id":"https://cir.nii.ac.jp/crid/1410012638715522563","@type":"Researcher","foaf:name":[{"@language":"en","@value":"MACHIDA Tomoya"},{"@language":"ja","@value":"町田 禎弥"}],"jpcoar:affiliationName":[{"@language":"ja","@value":"九州大学大学院"}]},{"@id":"https://cir.nii.ac.jp/crid/1410012638715522564","@type":"Researcher","foaf:name":[{"@language":"en","@value":"SHIBATA Yosuke"},{"@language":"ja","@value":"柴田 洋佑"}],"jpcoar:affiliationName":[{"@language":"ja","@value":"九州大学大学院 工学府土木工学専攻"}]}],"publication":{"publicationIdentifier":[{"@type":"EISSN","@value":"24359262"}],"prism:publicationName":[{"@language":"en","@value":"Artificial Intelligence and Data Science"},{"@language":"ja","@value":"AI・データサイエンス論文集"},{"@language":"en","@value":"Intelligence, Informatics and Infrastructure"}],"dc:publisher":[{"@language":"en","@value":"Japan Society of Civil Engineers"},{"@language":"ja","@value":"公益社団法人 土木学会"}],"prism:publicationDate":"2022","prism:volume":"3","prism:number":"J2","prism:startingPage":"551","prism:endingPage":"557"},"reviewed":"true","availableAt":"2022","foaf:topic":[{"@id":"https://cir.nii.ac.jp/all?q=Generative%20Adversarial%20Networks","dc:title":"Generative Adversarial Networks"},{"@id":"https://cir.nii.ac.jp/all?q=Virtual%20Reality","dc:title":"Virtual Reality"},{"@id":"https://cir.nii.ac.jp/all?q=pix2pixHD","dc:title":"pix2pixHD"},{"@id":"https://cir.nii.ac.jp/all?q=Transfer%20training","dc:title":"Transfer training"}],"project":[{"@id":"https://cir.nii.ac.jp/crid/1040003825718860544","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"20H02418"},{"@type":"JGN","@value":"JP20H02418"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20H02418/"}],"notation":[{"@language":"ja","@value":"サロゲートモデルで加速するインターディシプリナリ津波解析による確率論的被害予測"},{"@language":"en","@value":"An interdisciplinary stochastic tsunami disaster prediction accelerated by a surrogate model"}]},{"@id":"https://cir.nii.ac.jp/crid/1040282256990246912","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"19H00812"},{"@type":"JGN","@value":"JP19H00812"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19H00812/"}],"notation":[{"@language":"ja","@value":"気候変動影響を考慮した総合的流木災害リスク評価の展開"},{"@language":"en","@value":"Expansion of comprehensive evaluation for driftwoods disaster risk considering climate change effects"}]}],"dataSourceIdentifier":[{"@type":"JALC","@value":"oai:japanlinkcenter.org:2009968464"},{"@type":"KAKEN","@value":"PRODUCT-24382315"},{"@type":"KAKEN","@value":"PRODUCT-24422644"}]}