Kashiyama Takehiro

Profile Information

Affiliation: Faculty of Economics, Osaka University of Economics
: Center for Spatial Information Science at the University of Tokyo, The University of Tokyo

Degree: 博士（情報学）(Mar, 2010, Kansai University)

Contact information: t.kashiyamaosaka-ue.ac.jp
J-GLOBAL ID: 201801011911414252
researchmap Member ID: B000312565

External link: https://kashiyamalab.jp/

Research Interests

Research Areas

Social infrastructure (civil Engineering, architecture, disaster prevention) / Civil engineering (planning and transportation) /

Research History

Apr, 2022 - Present

The University of Tokyo
Apr, 2022 - Present

Faculty of Economics, Osaka University of Economics
Apr, 2017 - Mar, 2022

Institute of Industrial Science, The University of Tokyo
Jun, 2014 - Mar, 2017

Institute of Industrial Science, The University of Tokyo
Jul, 2012 - Nov, 2013

Center for Spatial Information Science at the University of Tokyo, The University of Tokyo
Oct, 2010 - Jul, 2012

Ritsumeikan University
Apr, 2010 - Sep, 2010

Faculty of Informatics, Kansai University

Education

Apr, 2007 - Mar, 2010

Graduate School, Kansai University
Apr, 2005 - Mar, 2007

Graduate School, Kansai University
Apr, 2001 - Mar, 2005

Department of Informatics, Faculty of Informatics, Kansai University

Papers

WindSR: Improving Spatial Resolution of Satellite Wind Speed Through Super-Resolution.

Ashutosh Kumar, Tanvir Islam, Jue Ma, Takehiro Kashiyama, Yoshihide Sekimoto, Chris Mattmann

IEEE Access, 11 69486-69494, 2023
Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022).

Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto

IEEE International Conference on Big Data, 6378-6386, 2022
Pseudo-PFLOW: Development of nationwide synthetic open dataset for people movement based on limited travel survey and open statistical data.

Takehiro Kashiyama, Yanbo Pang, Yoshihide Sekimoto, Takahiro Yabe

CoRR, abs/2205.00657, 2022
Citywide reconstruction of traffic flow using the vehicle-mounted moving camera in the CARLA driving simulator.

Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Hiroshi Omata, Yoshihide Sekimoto

25th IEEE International Conference on Intelligent Transportation Systems(ITSC), 2292-2299, 2022
Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator.

Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Fan Zhang, Hiroshi Omata, Yoshihide Sekimoto

IEEE International Conference on Big Data, 1858-1865, 2022
Online real-time pedestrian tracking from medium altitude aerial footage with camera motion cancellation.

Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama

Computer Vision and Image Understanding, 217 103386-103386, 2022
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022).

Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto

CoRR, abs/2211.11362 6378-6386, 2022
Deep learning-based road damage detection and classification for multiple countries

Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto

Automation in Construction, 132, Dec, 2021
Citywide reconstruction of cross-sectional traffic flow from moving camera videos.

Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Yoshihide Sekimoto

2021 IEEE International Conference on Big Data (Big Data), 1670-1678, 2021
Simulating Human Mobility with Agent-based Modeling and Particle Filter Following Mobile Spatial Statistics.

Mingfei Cai, Yanbo Pang, Takehiro Kashiyama, Yoshihide Sekimoto

SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems(SIGSPATIAL/GIS), 411-414, 2021
Development of a Reinforcement Learning based Agent Model and People Flow Data to Mega Metropolitan Area.

Yanbo Pang, Takehiro Kashiyama, Yoshihide Sekimoto

2021 IEEE International Conference on Big Data (Big Data), 3755-3759, 2021
Generative adversarial network for road damage detection.

Hiroya Maeda, Takehiro Kashiyama, Yoshihide Sekimoto, Toshikazu Seto, Hiroshi Omata

Computer-Aided Civil and Infrastructure Engineering, 36(1) 47-60, 2021
Sky Monitoring System for Flying Object Detection Using 4K Resolution Camera.

Takehiro Kashiyama, Hideaki Sobue, Yoshihide Sekimoto

Sensors (Basel, Switzerland), 20(24) 7071-7071, Dec 10, 2020 Peer-reviewed
Crowd Counting with Semantic Scene Segmentation in Helicopter Footage.

Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama

Sensors (Basel, Switzerland), 20(17) 4855-4855, Aug 27, 2020 Peer-reviewed
Development of people mass movement simulation framework based on reinforcement learning

Yanbo Pang, Takehiro Kashiyama, Takahiro Yabe, Kota Tsubouchi, Yoshihide Sekimoto

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 117, Aug, 2020
Global Road Damage Detection: State-of-the-art Solutions.

Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto

2020 IEEE International Conference on Big Data (IEEE BigData 2020), 5533-5539, 2020
Development of the Localized Road Damage Detection Model Using Deep Neural Network.

Alexander Mraz, Yoshihide Sekimoto, Takehiro Kashiyama, Hiroya Maeda

SSIP 2020: 2020 3rd International Conference on Sensors, Signal and Image Processing(SSIP), 1-6, 2020
Global Road Damage Detection: State-of-the-art Solutions.

Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto

CoRR, abs/2011.08740 5533-5539, Dec 10, 2020
Transfer Learning-based Road Damage Detection for Multiple Countries.

Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto

CoRR, abs/2008.13101, 2020 Peer-reviewed
Analyzing Road Coverage of Public Vehicles According to Number and Time Period for Installation of Road Inspection Systems.

Takehiro Kashiyama, Yoshihide Sekimoto, Toshikazu Seto, Ko Ko Lwin

ISPRS International Journal of Geo-Information, 9(3) 161-161, 2020 Peer-reviewedLead authorCorresponding author

Misc.

Improving the Evacuee Distribution Prediction Model Using Graph Neural Networks and Data Assimilation

樫山武浩, 沖拓弥, 小川芳樹, 今泉允聡, 大山雄己

地理情報システム学会講演論文集(CD-ROM), 2023, 2023
Validation of a Data-Driven Evacuee Distribution Prediction Method Integrating Graph Neural Networks and Data Assimilation

KASHIYAMA Takehiro, OKI Takuya, OGAWA Yoshiki, IMAIZUMI Masaaki, OYAMA Yuki

Proceedings of the Annual Conference of JSAI, JSAI2023 2H6OS8b02-2H6OS8b02, 2023
ベクトルタイル技術を用いた全国規模の人流データの効率的な可視化—Efficient Visualization of Nationwide People Flow Data Using Vector Tiling Technology

笠原有貴, 関本義秀, 樫山武浩, 瀬崎薫

GIS-理論と応用 / 地理情報システム学会編, 30(2) 85-90, Dec, 2022
単眼カメラによる道路空間深度推定と舗装ひび割れ率計算

佐藤剛, 前田紘弥, 樫山武浩, 関本義秀

土木情報学シンポジウム講演集 = Proceedings of the symposium on civil engineering informatics / 土木学会土木情報学委員会編, 46 29-32, 2021
Development of nationwide synthetic people flow data based on agent model and statistical data

樫山武浩, PANG Yanbo, 関本義秀

地理情報システム学会講演論文集(CD-ROM), 30, 2021
Reconstruction of people flow in metropolitan area via reinforcement learning approach

PANG Yanbo, 樫山武浩, 関本義秀

地理情報システム学会講演論文集(CD-ROM), 29, 2020
Development of prefecture-level people flow data

樫山武浩, PANG Yanbo, 関本義秀

地理情報システム学会講演論文集(CD-ROM), 29, 2020
道路管理者向け道路損傷検出システムの構築

前田紘弥, 樫山武浩, 関本義秀, 瀬戸寿一, 小俣博司

土木情報学シンポジウム講演集 = Proceedings of the symposium on civil engineering informatics / 土木学会土木情報学委員会編, 45 185-188, 2020
人の流れプロジェクトとOpenPFLOW—特集人間都市情報学の先端研究 : 東京大学生産技術研究所関本研究室

樫山/武浩

Estrela / Estrela編集委員会編, (307) 3-6, Oct, 2019
強化学習に基づく人の流れシミュレーションフレームワークの構築

PANG Yanbo, 樫山武浩, 関本義秀

地理情報システム学会講演論文集(CD-ROM), 28, 2019
Rent Estimation Model and Visualization of Area Potential Using Deep Neural Network: A Focus on Attributes of Building and Area

Maeda Midori, Sekimoto Yoshihide, Seto Toshikazu, Kashiyama Takehiro

Journal of the City Planning Institute of Japan, 53(3) 1499-1506, Oct 25, 2018
The analysis of public-owned vehicle use with long-term GPS data and the possibility of use optimization: A case study in a working car project

OBARA Mitsuaki, KASHIYAMA Takehiro, SEKIMOTO Yoshihide, OMATA Hiroshi

JSTE Journal of Traffic Engineering, 4(1) A_286-A_293, 2018
複数地点からの常時画像モニタリングによる都市空間上の飛行物体の検出と分類

祖父江英謙, 福島祐樹, 樫山武浩, 関本義秀

生研フォーラム論文集宇宙からの地球環境・災害のモニタリングとリスク評価, 25 145-152, Mar 2, 2017
公用車の長期GPSデータを用いた利用分析と最適化の可能性~はたらく車プロジェクトを通じて~

小原光暁, 樫山武浩, 関本義秀, 小俣博司

交通工学研究発表会論文集(CD-ROM), 37th ROMBUNNO.105-678, 2017
複数地点からの常時画像モニタリングによる都市空間上の飛行物体の検出と分類

祖父江英謙, 福島佑樹, 樫山武浩, 関本義秀

地理情報システム学会講演論文集(CD-ROM), 26 ROMBUNNO.C25-152, 2017
災害時におけるリアルタイムな広域人流推定のための高精度な粒子フィルタの提案

須藤明人, 樫山武浩, 矢部貴大, 樋口知之, 中野慎也, 斎藤正也, 関本義秀

交通工学論文集(Web), 3(2) A_76‐A_83(J‐STAGE), 2017
集計位置データからの人流のリアルタイム推定のための粒子フィルタの提案と東日本大震災への応用

須藤明人, 樫山武浩, 矢部貴大, 金杉洋, SONG Xuan, 樋口知之, 中野慎也, 斎藤正也, 関本義秀

情報処理学会シンポジウムシリーズ(CD-ROM), 2016(1) 922‐924, Jun 29, 2016
リアルタイムな広域人流推定のための高速で高精度な粒子フィルタの提案

須藤明人, 樫山武浩, 矢部貴大, 樋口知之, 中野慎也, 斎藤正也, 関本義秀

交通工学研究発表会論文集(CD-ROM), 36th ROMBUNNO.88-578, 2016
スマートフォンカメラによる道路上のマルチオブジェクト検出

前田紘弥, 樫山武浩, 須藤明人, 関本義秀

地理情報システム学会講演論文集(CD-ROM), 25 ROMBUNNO.D‐3‐4, 2016
Real-Time Prediction of People’s Movement under Disaster Situations using Particle Filter

YABE Takahiro, SEKIMOTO Yoshihide, KASHIYAMA Takehiro, KANASUGI Hiroshi, SUDO Akihito

JSTE Journal of Traffic Engineering, 2(2) A_19-A_27, 2016 Peer-reviewed

Research Projects

Integrated Dynamics Monitoring and Application for Land and Maritime Transport through Observation Data Collaboration

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2024 - Mar, 2027
疑似人流開発プラットフォームの構築

科学研究費助成事業基盤研究(C), 基盤研究(C), 日本学術振興会, Apr, 2023 - Mar, 2026

樫山武浩
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

科学研究費助成事業挑戦的研究(萌芽), 挑戦的研究(萌芽), 日本学術振興会, Jun, 2022 - Mar, 2024

関本義秀, 樫山武浩, 矢部貴大, Pang Yanbo, 小川芳樹, 瀬戸寿一, 澁谷遊野
強化学習とデータ同化を用いた携帯データからの日々の変動を捉えた人流データの生成

科学研究費助成事業基盤研究(C), 基盤研究(C), 日本学術振興会, Apr, 2020 - Mar, 2023

樫山武浩
エージェントモデルと統計データを用いた全国規模の疑似人流データの開発

公募型共同研究, 学際大規模情報基盤共同利用・共同研究拠点, Apr, 2022 - Mar, 2023
エージェントモデルに基づく全国規模の擬似人流データの開発

2020年助教研究支援, 東京大学生産技術研究所, Apr, 2020 - Mar, 2021

樫山武浩
三次元データの円滑な流通に向けたオンライン型電子納品の構築

建設技術研究開発助成制度, 国土交通省, Apr, 2018 - Mar, 2019
三次元データの円滑な流通に向けたオンライン型電子納品の構築

建設技術研究開発助成制度, 国土交通省, Apr, 2017 - Mar, 2018
G空間プラットフォームにおけるリアルタイム情報の利活用技術に関する研究開発

情報通信技術の研究開発, 総務省, Apr, 2014 - Mar, 2015
個人情報漏洩の防止を目的としたアクセス制御のためのデータフロー解析機構の開発

2011年度研究推進プログラム若手研究, 立命館大学, Apr, 2011 - Mar, 2012

樫山武浩

Awards

Professional Memberships

Industrial Property Rights

特許第6632054号推定装置、推定方法及びプログラム

関本義秀, 須藤明人, 樫山武浩, 矢部貴大
特許4860272 CADデータ同一性検証装置

田中成典, 古田均, 伊藤勝久, 北川悦司, 物部寛太郎, 池辺正典, 吉田博哉, 杉町敏之, 中村健二, 樫山武浩
特願2018-019414 識別システム、識別装置、識別方法及び識別プログラム

関本義秀, 前田紘弥, 瀬戸寿一, 樫山武浩, 小俣博司
特許6364101 空中監視装置、空中監視方法及びプログラム

関本義秀, 祖父江英謙, 福島佑樹, 樫山武浩, 矢部俊男

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