Institute of Education
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  2. Shohei Kitazawa

Shohei Kitazawa

  (北澤 章平)

Profile Information

Affiliation
Associate Professor, Institute of Education, Center of Technical Education, Osaka Sangyo University
Degree
Master (Engineering)(Osaka Sangyo University)
修士(工学)(大阪産業大学)
Researcher number
20369713
J-GLOBAL ID
200901024345816202
researchmap Member ID
5000067338

Education

 2

Awards

 1

Papers

 3
  • Shohei KITAZAWA, Masashi YAMAGUCHI, Tetsuya KANEKO
    Transactions of the JSME, 85(880) No.19-00145, Dec 25, 2019  Peer-reviewed
    This paper describes the development and verification of target trajectory and speed control target calculation. The control target calculation system of the autonomous vehicle algorithm, which is the focus of this study, mimics an expert driver's direction and speed control in detail. The proposed algorithm consists of a driver model, which considers the risk potential, and vehicle dynamics model like a human driver. We think that a human driver drives under the influence of some obstacles and the oncoming vehicle on the road. And they change a driving action so that their risk is always kept low. At first we measured the traveling path and vehicle speed as a driving action of the human driver by the experiment in the real traffic condition. Next, we reproduced the driving action of the human driver by the proposed algorithm. The parameter of the risk potential driver model was estimated by the experiment results. In addition, we performed inspection by the simulation about calculated control target. As a result, it was confirmed that direction control and the vehicle speed control by proposed algorithm simulated the driving of the human driver in detail.
  • 北澤 章平
    （財）東京自動車技術普及協会 H22年度懸賞論文, Mar, 2010  
  • Youngsung YANG, Tetsuya KANEKO, Shohei KITAZAWA, Yuzuru MATSUURA
    Review of Automotive Engineering, vol.28(no.4) 479-481, Oct, 2007  Peer-reviewed
    ３次元画像解析法を用い、運転者の状態推定手法の一つのツールとして、「顔面の表情」に着目した．まず、アンケートにより、基本6表情の客観評価を行った．そしてドライビングシミュレータの走行実験を用いて、顔面各部の表情変化を定量的に分析し、感情と運転負担との関係を調べた．また同時に運転者の生体負担を生理的反応から分析し、顔面表情との関係について検討を行った．

Misc.

 5
  • Shohei Kitazawa(Osaka, Sangyo University, Tetsuya Kaneko(Osaka, Sangyo Universirty
    Proc. FAST-zero 2017 Symposium, Sep, 2017  
    Autonomous vehicle technology is expected to solve several road traffic issues. Therefore, this technology is receiving increased attention, and several relevant experiments are being conducted. The focus of the study involves an autonomous vehicle algorithm that simulates an expert driver's maneuvering in detail. The study describes the development and verification of target trajectory and longitudinal control target generation. The proposed algorithm consists of a driver model that considers risk potential and a vehicle dynamics model. This algorithm is validated through simulations by using a vehicle dynamics model with multiple degrees of freedom considering mutual accordance in mixed traffic conditions. The results indicated that the risk potential driver model formulates risk feel from any traffic objects and other vehicles. Additionally, the results confirmed that a human driving maneuver can be expressed by the control target calculation algorithm.
  • Shohei Kitazawa(Osaka, Sangyo University, Tetsuya Kaneko(Osaka, Sangyo Universirty
    Proceedings of The 13th Internatonal Symposium on Advanced Vehicle Control AVEC'16 in Munich,Germany, Sep, 2016  
    This paper describes the development and simulation verification of a direction control algorithm for autonomous vehicles in consideration of mutual accordance in mixed traffic conditions. This algorithm includes a driver model and a vehicle dynamics model. The driver model is composed of a risk potential driver model and a second-order prediction driver model with multiple preview points. We examined the capability of the algorithm to express human operation. In a traffic condition where there are multiple obstacles, we suggested an algorithm for real-time control target generation from the surrounding environment by using the risk potential and confirmed its effectiveness by simulation and experiment.
  • Shohei Kitazawa(Osaka, Sangyo University, Tetsuya Kaneko(Osaka, Sangyo Universirty
    Proc. FAST-zero 2015 Symposium, Sep, 2015  
    We believe that a driver’s operation and vehicle’s motion characteristics during a lane change differ by driver. This study examined a driver's acceptance and operation in relation to a change in the vehicle’s response using a four‐wheel steering vehicle. We changed the frequency response characteristics of the yaw rate for the steering wheel operation by changing the control parameters of the four‐wheel steering system. In addition, we conducted some experiments using this experimental vehicle. The results show that the vehicle response that was acceptable to the driver was characterized, and the behavior of drivers in relation to the vehicle response was determined.
  • Shohei Kitazawa, Yuzuru Matsuura
    SAE Technical Paper Series, No.2004-01-0453(SP-1877) 2005/01/06, Mar, 2004  
    通常時と緊急時のブレーキ状態でのアクセルペダルからブレーキペダルヘ移行時のドライバーの足の動きをビデオカメラで撮影し、3次元画像解析装置（ピークモータス）を用いて分析した。また同時にドライバーの足運動の変位と速度をCCDレーザー変位計によって精確に測定した。それによりアクセルペダルから離れる直後の足の裏の瞬間速度と経過時間のデータが得られた。この結果より緊急時においてブレーキペダルを操作する前に、ブレーキ操作を補助するシステムについて、その可能性を導いた。
  • Yuzuru Matsuura, Shohei Kitazawa, Yoshiyuki Hiraike
    SAE Technical Paper Series, No.2004-01-0452(SP-1877) 2005/01/06, Mar, 2004  
    実車走行実験によって従来の円ハンドルとジョイスティック操作系について比較した．またドライバ操作によるジョイスティックの最適操舵角についてドライビングシミュレータを用いて調べた．結果，アクセル・ブレーキペダルとジョイスティックの連係操作の可能性および最適操舵ゲインの指標を示した．

Presentations

 24
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Professional Memberships

 3

Research Projects

 1

研究テーマ

 2
  • 研究テーマ（英語）
    道路環境‐人‐自動車の調和に関する研究
    キーワード（英語）
    人間工学
  • 研究テーマ（英語）
    専門教育課程における教育手法に関する研究
    キーワード（英語）
    教科教育法,工業科
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