Rchr
J-GLOBAL ID：201901019883235965
Update date: May. 27, 2024
Ogawa Yoshiki
Ogawa Yoshiki | Ogawa Yoshiki
Affiliation and department：
Research field (1)：
Disaster prevention engineering
Research keywords (5)：
Reinforcement learning
, Machine learning
, Big data
, Disaster management
, GIS
Research theme for competitive and other funds (10)：
- 2024 - 2027 観測データ連携による陸運・海運の統合的動態把握と応用
- 2023 - 2026 疑似人流開発プラットフォームの構築
- 2022 - 2025 Development of Housing Environment Assessment Methods Using Diverse Big Data and Artificial Intelligence for the Formation of Sustainable Residential Areas
- 2022 - 2024 グローバル人流データコモンズ創出のための基礎的研究
- 2020 - 2024 Realization of the Micro Population Census by Deep Learning Using Satellite Images in Developing Countries
- 2020 - 2023 深層強化学習による行動戦略の獲得:企業の地震津波被害における復旧計画
- 2019 - 2022 Study for Development of Dynamic Geodemographic Using Geospatial Information and Big Data
- 2019 - 2022 「観測ビッグデータ同化」による大地震時のリアルタイム避難者分布推定技術の開発
- 2017 - 2020 Extraction of significant scenarios for earthquake damage estimation using sparse modeling
- 2015 - 2018 Development of dynamic human activity analysis by estimation of people attributes on person flow big data collected by mobile phone GPS data
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Papers (61)：
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Yoshiki Ogawa, Takuya Oki, Chenbo Zhao, Yoshihide Sekimoto, Chihiro Shimizu. Evaluating the subjective perceptions of streetscapes using street-view images. Landscape and Urban Planning. 2024
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Yoshiki Ogawa, Ryoto Nakamura, Go Sato, Hiroya Maeda, Yoshihide Sekimoto. End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models. Remote Sensing. 2024
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Lu Huang, Takuya Oki, Sachio Muto, Yoshiki Ogawa. Unveiling the Non-Linear Influence of Eye-Level Streetscape Factors on Walking Preference: Evidence from Tokyo. ISPRS International Journal of Geo-Information. 2024
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Yoshiki Ogawa, Go Sato, Yoshihide Sekimoto. Geometric-based approach for linking various building measurement data to a 3D city model. PLOS ONE. 2024
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Yusuke Imadegawa, Takuya Oki, Yoshiki Ogawa, Chenbo Zhao. Predicting Impression Evaluation of Building Exterior Appearance Using Street Image Big Data and Deep Learning. IEEE Big Data. 2023. 1419-1428
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MISC (37)：
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今出川 祐亮, 沖 拓弥, 小川 芳樹, 趙 琛渤. 街路全方位画像ビッグデータから抽出した建物外観画像に基づく汎用的な印象評価手法の検討. 第31回地理情報システム学会研究発表大会講演論文集. 2022
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Deep-learning based approach for building extraction and usage classification from fused DSM and satellite images. Proceeding of 31th Geographic Information System Association conference. 2022
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楊 少鋒, 小川 芳樹, 柴崎 亮介, 池内 幸司. 企業単位のエージェントシミュレーションモデルによる水害がサプライチェーンに及ぼす影響の推計 -平成30年7月豪雨を事例として-. 第31回地理情報システム学会研究発表大会講演論文集. 2022
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秋山 祐樹, 飯塚 浩太郎, 小川 芳樹, 今福 信幸, 谷内田 修, 杉田 暁. ドローンで収集した熱赤外画像および可視画像から人工知能(AI)により迅速に空き家分布推定を行う手法の検討. 第31回地理情報システム学会研究発表大会講演論文集. 2022
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沖 拓弥, 小川 芳樹, 趙 琛渤, 今出川 祐亮, 清水 千弘. 街路全方位画像ビッグデータを用いた街路景観の主観的印象評価の属性別傾向. 第31回地理情報システム学会研究発表大会講演論文集. 2022
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Work history (5)：
- 2022/08 - 現在 Center for Spatial Information Science, at the University of Tokyo Division of Joint Usage and Research Lecturer professor
- 2020/11 - 2022/07 The University of Tokyo Center for Spatial Information Science at the University of Tokyo Division of Joint Usage and Research Assistant professor
- 2019/04 - 2020/11 The University of Tokyo Institute of Industrial Science Project assistant professor
- 2017/05 - 2019/03 The University of Tokyo Institute of Industrial Science Project researcher
- 2016/10 - 2017/04 The University of Tokyo Center for Spatial Information Science at the University of Tokyo Project researcher
Awards (2)：
- 2022/12 - NEDO Supply Chain Data Challenge, System Development Category Theme 1 -Ports- 3rd
- 2022/11 - Center for Spatial Information Science, at the University of Tokyo CSIS DAYS 2022 Best presentation award
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