Updated on 2022/03/14

写真a

 
YAMAGUCHI Takuma
 
Organization
Graduate School of Engineering Mechanical Systems Engineering 2 Assistant Professor
Graduate School
Graduate School of Engineering
Undergraduate School
School of Engineering Mechanical and Aerospace Engineering
Title
Assistant Professor

Degree 3

  1. 博士(工学) ( 2014.3   名古屋大学 ) 

  2. 修士 ( 2011.3   名古屋大学 ) 

  3. 学士 ( 2009.3   名古屋大学 ) 

Research Interests 4

  1. Automobile

  2. probability theory

  3. mathematical optimization

  4. control theory

Research Areas 3

  1. Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Control and system engineering

  2. Informatics / Robotics and intelligent system

  3. Informatics / Human interface and interaction

Research History 4

  1. Nagoya University   Graduate School of Engineering Mechanical Systems Engineering   Assistant Professor

    2022.2

  2. Meijo University   Faculty of Science and Technology

    2020.4 - 2022.3

  3. Nagoya University   Graduate school of engineering   Designated assistant professor

    2019.4 - 2022.1

  4. Nagoya University   Institute of Innovation for Future Society   Designated assistant professor

    2014.4 - 2019.3

Professional Memberships 2

  1. THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS

  2. SOCIETY OF AUTOMOTIVE ENGINEERS OF JAPAN

Committee Memberships 3

  1. 計測自動制御学会   中部支部 庶務  

    2022.1   

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    Committee type:Academic society

  2. 自働車技術会中部支部   幹事  

    2018   

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    Committee type:Academic society

  3. 計測自動制御学会 中部支部   運営委員  

    2016.4 - 2018.3   

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    Committee type:Academic society

Awards 2

  1. Best Paper Award

    2019.2   ACHI 2019 : The Twelfth International Conference on Advances in Computer-Human Interactions  

    Matsubayashi, S, Miwa, K, Yamaguchi, T, Suzuki, T

  2. Best Paper Award

    2017.5   ICAS 2017 : The Thirteenth International Conference on Autonomic and Autonomous Systems  

    Matsubayashi, S, Miwa, K, Yamaguchi, T, Suzuki, T

 

Papers 15

  1. Model Predictive Collision Avoidance for Non-Convex Environment Using Projected C-Space Reviewed

    Tatsuya Ishiguro, Takuma Yamaguchi, Hiroyuki Okuda, Tatsuya Suzuki

    2022 IEEE/SICE International Symposium on System Integration (SII)     2022.1

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/sii52469.2022.9708875

  2. Modelling and Analysis for Interactive Crossing Decision of Pedestrian at Non-signalized Intersection Reviewed

    Takashi Nishimoto, Takuma Yamaguchi, Hiroyuki Okuda, Tatsuya Suzuki, Kentaro Haraguchi, Ryo Wakisaka, Kazunori Ban

    2022 IEEE/SICE International Symposium on System Integration (SII)     2022.1

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/sii52469.2022.9708841

  3. インタラクションを含む無信号交差点における歩行者の横断判断のモデル化と解析 Reviewed

    山口 拓真, 黒田 颯人, 奥田 裕之, 鈴木 達也, 原口 健太郎, 脇坂 龍, 伴 和徳

    自動車技術会論文集   Vol. 52 ( 6 ) page: 1360 - 1367   2021.11

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (scientific journal)  

  4. Verification of Improvement of Driving Characteristics by Instructional Cooperative Assistance System Reviewed

    Takuma Yamaguchi, Shota Matsubayashi, Tatsuya Suzuki, Kazuhisa Miwa

    47th Annual Conference of the IEEE Industrial Electronics Society     2021.10

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

  5. Model Predictive Path Planning for Autonomous Parking Based on Projected C-Space Reviewed

    Takuma Yamaguchi, Tatsuya Ishiguro, Hiroyuki Okuda, Tatsuya Suzuki

    2021 IEEE International Intelligent Transportation Systems Conference (ITSC)     page: 929 - 935   2021.9

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/itsc48978.2021.9564599

  6. Modeling and Analysis of Interactive Driving Behavior Based on Piecewise ARX Model Reviewed

    Takuma YAMAGUCHI, Hiroyuki OKUDA, Tatsuya SUZUKI

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   Vol. 32 ( 3 ) page: 713 - 721   2020.6

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI: 10.3156/jsoft.32.3_713

  7. Realization and Evaluation of an Instructor-Like Assistance System for Collision Avoidance Reviewed

    Keji Chen, Takuma Yamaguchi, Hiroyuki Okuda, Tatsuya Suzuki, Xuexun Guo

    IEEE Transactions on Intelligent Transportation Systems     page: 1 - 10   2020

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Institute of Electrical and Electronics Engineers (IEEE)  

    DOI: 10.1109/tits.2020.2974495

  8. Short- and Long-Term Effects of an Advanced Driving Assistance System on Driving Behavior and Usability Evaluation Reviewed

    Matsubayashi, S, Miwa, K, Yamaguchi, T, Suzuki, T

    Proceedings. of The Twelfth International Conference on Advances in Computer-Human Interactions (ACHI 2019)     page: 1-6   2019

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    Language:English   Publishing type:Research paper (scientific journal)  

  9. INS とマルチレイヤー LiDAR を用いた自動運転車両のための高精度自己位置推定 Reviewed

    赤井直紀, 竹内栄二朗, 山口拓真, モラレス ルイス 洋一, 吉原佑器, 奥田裕之, 鈴木達也, 二宮芳樹

    自動車技術会論文集   Vol. 49 ( 3 ) page: 675 - 681   2018

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  10. Cognitive and Behavioral Effects on Driving by Information Presentation and Behavioral Intervention in Advanced Driving Assistance System Reviewed

    Matsubayashi Shota, Miwa Kazuhisa, Yamaguchi Takuma, Kamiya Takafumi, Suzuki Tatsuya, Ikeura Ryojun, Hayakawa Soichiro, Ito Takafumi

    Cognitive Studies   Vol. 25 ( 3 ) page: 324 - 337   2018

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japanese Cognitive Science Society  

     Advanced driving assistance system supports human drivers in two ways. First, the system provides information about the surrounding environment and encourages drivers to change their behavior. Second, the system intervenes in driving behavior directly to assure the safety. Such a system makes two different effects on drivers. The first is a cognitive effect, which includes drivers' subjective evaluations about the system. The second is a behavioral effect, which includes drivers' behavioral changes after driving with the system. We examined how information presentation and behavioral intervention affect drivers in both cognitive and behavioral aspects. The results show that information presentation makes a significant effect on drivers' behavioral changes after driving with the system while behavioral intervention makes a significant effect on drivers' evaluations about the system.

    DOI: 10.11225/jcss.25.324

    CiNii Books

  11. 個人適合型ポテンシャル法に基づく障害物回避アシスト制御(第2報) Reviewed

    佐藤大地, 山口拓真, 奥田裕之, 鈴木達也

    自動車技術会論文集   Vol. 48 ( 1 ) page: 97 - 102   2017

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  12. Autonomous Driving Based on Accurate Localization Using Multilayer LiDAR and Dead Reckoning Reviewed

    N. Akai, L. Y. Morales, T. Yamaguchi, E. Takeuchi, Y. Yoshihara, H. Okuda, T. Suzuki, Y. Ninomiya

    IEEE Int. Conf. on Intelligent Transportation Systems     page: 1147 - 1152   2017

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1109/ITSC.2017.8317797

  13. 運転教習員型運転支援の提案とその評価 Reviewed

    山口 拓真, 奥田 裕之, 鈴木 達也, 早川 聡一郎, 池浦 良淳, 武藤 健二, 伊藤 隆文

    自動車技術会論文集   Vol. 48 ( 3 ) page: 717 - 724   2017

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  14. Model Predictive Charging Control of In-vehicle Batteries for Home Energy Management based on Vehicle State Prediction Reviewed

    A. Ito, A. Kawashima, T. Suzuki, S. Inagaki, T. Yamaguchi, Z. Zhou

    IEEE Transactions on Control Systems Technology   Vol. 26 ( 1 ) page: 51 - 64   2017

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    Language:English   Publishing type:Research paper (scientific journal)  

  15. Empirical Investigation of Changes of Driving Behavior and Usability Evaluation Using an Advanced Driving Assistance System Reviewed

    Matsubayashi, Shota, Miwa, Kazuhisa, Yamaguchi, Takuma, Kamiya, Takafumi, Suzuki, Tatsuya, Ikeura, Ryojun, Hayakawa, Soichiro, Ito, Takafumi

    THIRTEENTH INTERNATIONAL CONFERENCE ON AUTONOMIC AND AUTONOMOUS SYSTEMS (ICAS 2017)     page: 36 - 39   2017

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IARIA XPS PRESS  

    It is known that the behavior of autonomous systems affects users' cognitive and behavioral aspects; however, further examination of sequential effects is required. We manipulated instructional information as cognitive guidance and the degree of behavioral intervention implemented by an advanced driving assistance system, and then assessed usability evaluation of the system and changes in user behavior. The results show that strict intervention reduces subjective evaluations, and the absence of instructional information hinders changes in user behavior.

    Web of Science

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MISC 4

  1. 受け入れられる運転知能を目指して―人の行動予測を用いた低ストレスな協調制御

    奥田 裕之, 山口 拓真

    システム/制御/情報   Vol. 65 ( 9 ) page: 370 - 376   2021.9

  2. 市街地での合流時における運転指導下での高齢ドライバの運転行動解析

    奧田峻也, 山口拓真, 吉原佑器, 青木宏文, 山岸未沙子, 二宮芳樹, 竹内栄二朗, 奥田裕之, 鈴木達也

    自動車技術会大会学術講演会講演予稿集(CD-ROM)   Vol. 2018   page: ROMBUNNO.029   2018.5

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    Language:Japanese  

    J-GLOBAL

  3. Prediction of Car Use for Energy Management Systems

    INAGAKI Shinkichi, KAWASHIMA Akihiko, YAMAGUCHI Takuma, SUZUKI Tatsuya

    Journal of The Society of Instrument and Control Engineers   Vol. 56 ( 7 ) page: 509 - 514   2017

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    Language:Japanese   Publisher:The Society of Instrument and Control Engineers  

    DOI: 10.11499/sicejl.56.509

  4. INSとマルチレイヤーLIDARを用いた高精度自己位置推定に基づく一般公道での自動運転

    赤井直紀, 竹内栄二朗, 山口拓真, MORALES Luis Yoichi, 吉原佑器, 奥田裕之, 鈴木達也, 二宮芳樹

    自動車技術会大会学術講演会講演予稿集(CD-ROM)   Vol. 2017   2017

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KAKENHI (Grants-in-Aid for Scientific Research) 7

  1. Development of Model Predictive Interactive Intelligence and Its Application to Autonomous Drive

    Grant number:19H00763  2019.4 - 2022.3

    Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)

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    Authorship:Coinvestigator(s) 

  2. Construction of decision-making scheme among drivers using dynamics model

    Grant number:18K18103  2018.4 - 2021.3

    Grants-in-Aid for Scientific Research  Grant-in-Aid for Early-Career Scientists

    Yamaguchi Takuma

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    Authorship:Principal investigator 

    Grant amount:\3770000 ( Direct Cost: \2900000 、 Indirect Cost:\870000 )

    This work targeted passing driving behavior around a parked car, and it was modeled and analyzed with the PWARX (PieceWise Autoregressive eXogenous) model, which is one of the hybrid dynamical systems.This target task involves a making decision, whether a driver gives way to an oncoming car or not.Besides, the decision needs to make taking into account other traffic participants, and this task is an interactive one.To achieve the goal, the driving behavior was modeled and analyzed with the PWARX model, and the model expressed the continuous driving behaviors and discrete decisions.This model can predicted the driving velocity with only 15% error.

  3. ダイナミクスモデルによるドライバ間の意思決定スキームの構築

    2018.4 - 2021.3

    日本学術振興会  科学研究費助成事業:若手B 

    山口 拓真

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\3770000

  4. 知能化自動車のためのスーパーバイザ型協調制御とその実証

    2016.4 - 2019.3

    日本学術振興会  科学研究費助成事業:基盤A(研究分担者) 

    鈴木達也

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    Grant type:Competitive

  5. Supervisory Driver Assistance Control and Its Verification

    Grant number:16H02353  2016.4 - 2019.3

    Suzuki Tatsuya

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    Authorship:Coinvestigator(s) 

    Safety and acceptability are main concerns in the design of driver assistance system. In fact, these two requirements sometimes may conflict with each other depending on e situation and driver. This conflict is more emphasized particularly in the case of considering elderly driver. In order to solve this problem, this paper proposes a new driver-vehicle cooperation scheme, a `supervisory cooperation control' which consists of model predictive constraint satisfaction and multimodal human-machine interface. The proposed cooperation scheme enables us to realize the safety without loosing acceptability.In addition, we have verified that the proposed assistance system improve the driver's original driving characteristics, i.e., the driver can learn how to realize the safety driving.

  6. Usage prediction of electric vehicle to achieve both traffic and energy management system

    Grant number:16K18167  2016.4 - 2018.3

    Yamaguchi Takuma

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    Authorship:Principal investigator 

    Grant amount:\2990000 ( Direct Cost: \2300000 、 Indirect Cost:\690000 )

    It is proposed that an electric vehicles are available as not only vehicles but also movable batteries because it has a high capacity. However, the movable battery function is available only when the driver does not use the vehicle. In order to integrate the electric vehicle into an energy management system, usage prediction is needed.
    This work established a usage prediction method of the electric vehicle considering driver's habits. The management method for electric vehicles which balances the usage as a vehicle and a storage battery was proposed, and its effectiveness was verified in the simulation experiment.

  7. 交通とエネルギーマネジメントを両立させる電気自動車の利用予測

    2016.4 - 2018.3

    日本学術振興会  科学研究費助成事業:若手B 

    山口 拓真

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\2990000

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