ドライビングインタフェース班

ドライビングインタフェース班

研究概要

本チームでは、画像処理や機械学習を用いたドライバーおよび運転環境のモニタリング技術、ドライバーの負担を考慮したヒューマンマシンインタフェース（HMI）の設計、人間中心の操作インタフェースの構築を通じて、安全で快適なモビリティ社会の実現を目指しています。
研究テーマには、視線・姿勢・足動作の推定による運転行動の理解、周囲交通状況を含む状況認識の推定、運転者の疲労・眠気の検出などが含まれます。例えば、標準的な視線行動モデルに基づいて状況認識度合を推測するシステムや、ペダル操作の適切性を評価する足の動作追跡システムや、マルチセンサを用いたドライバーモニタリングと音声対話により、疾病予兆を検知するシステムを提案しています。
さらに、触覚・音声・視覚を組み合わせたマルチモーダル通知や、高度自動化車両におけるTactical-level運転のためのマルチモーダルヒューマンインタフェース設計にも取り組み、運転者の認知・判断・行動を支える直感的で柔軟な操作環境の実現を目指しています。
人間の行動と認知の深い理解に基づき、情報学と工学の融合によって、私たちは多様な社会課題に挑み、未来を切り拓くイノベーションを創出し続けています。

成果・発表（学会発表・論文等）

国際学会

  • H. Hayashi, N. Oka, S. Sugano, and M. Kamezaki, “TUN-DAS: Time-Series Analysis and Unsupervised Learning Based Driving Behavior Assessment System,” IEEE Trans.　Intelli. Transp. Sys. (T-ITS), Vol. 26, Issue 1, 2025．
  • Catherine Lollett, Mitsuhiro Kamezaki, and Shigeki Sugano, “Normalized Facial Features-Based DNN for a Driver’s Gaze Zone Classifier Using a Single Camera Robust to Various Highly Challenging Driving Scenarios,” Proceedings of 2023 IEEE Intelligent Vehicles Symposium (IV 2023), pp. 1-8, 2023.
  • Mitsuhiro Kamezaki, Udara Eshan Manawadu, Masaaki Ishikawa, Shigeki Sugano, “Preliminary Study of Tactical-Level Interaction for Highly-Automated Vehicles: Its Application to Touchscreen Interface,” IEEE Trans. Intell. Veh., vol. 8, no. 2, pp. 1944-1956, 2023.
  • H. Hayashi, H. Aoki, M. Kamezaki, K. Shimazaki, K. Aoki, and S. Sugano, “JointFlow: A Foot Motion Tracking Model Combining Pose Estimation Model with Optical Flow,” Proc. IEEE Intelli. Transp. Sys. Conf. (ITSC), pp. 2875-2881, 2022.
  • Catherine Lollett, Mitsuhiro Kamezaki, and Shigeki Sugano, “Single Camera Face Position-Invariant Driver’s Gaze Zone Classifier Based on Frame-Sequence Recognition Using 3D Convolutional Neural Networks,” Sensors, vol. 22, no. 15, pp. 5857-5857, 2022.
  • Catherine Lollett, Mitsuhiro Kamezaki, Shigeki Sugano, “Driver’s Drowsiness Classifier using a Single-Camera Robust to Mask-wearing Situations using an Eyelid, Lower-Face Contour, and Chest Movement Feature Vector GRU-based Model,” Proceedings of IEEE Intelligent Vehicles Symposium (IV 2022), pp. 519-526, 2022.
  • Catherine Lollett, Mitsuhiro Kamezaki, Shigeki Sugano, “Towards a Driver’s Gaze Zone Classifier using a Single Camera Robust to Temporal and Permanent Face Occlusions,” Proceedings of 2021 IEEE Intelligent Vehicles Symposium (IV 2021), pp. 578-585 2021.
  • H. Hayashi, N. Oka, M. Kamezaki, S. Sugano, “Development of a Situational Awareness Estimation Model Considering Traffic Environment for Unscheduled Takeover Situations,” Inter. J. Intelli. Transp. Sys. Res. (IJ-ITS), Vol. 19, pp. 167–181, 2021.
  • H. Hayashi, M. Kamezaki, and S. Sugano, “Toward Health-Related Accident Prevention: Symptom Detection and Intervention Based on Driver Monitoring and Verbal Interation,” IEEE Open J. Intelli. Transp. Sys. (OJ-ITS), Vol. 2, pp. 240–253, 2021．
  • C. Lollett, H. Hayashi, M. Kamezaki, S. Sugano, “A Robust Driver’s Gaze Zone Classification using a Single Camera for Self-occlusions and Non-aligned Head and Eyes Direction Driving Situations,” IEEE Inter. Conf. Sys., Man, & Cyber. (SMC), pp. 4302–4308, 2020.
  • H. Hayashi, M. Kamezaki, U. E. Manawadu, T. Kawano, T. Ema, T. Tomita, L. Catherine, and S. Sugano, “A Driver Situational Awareness Estimation System Based on Standard Glance Model for Unscheduled Takeover Situations,” Proc. IEEE Intelli. Veh. Symp. (IV), pp. 718-723, 2019.
  • U. E. Manawadu, T. Kawano, S. Murata, M. Kamezaki, Junya Muramatsu, and S. Sugano, “Multiclass Classification of Driver Perceived Workload Using Long Short-Term Memory based Recurrent Neural Network,” Proc. IEEE Intelli.Vehicles Symposium (IV 2018), 2009-2014, June 2018.
  • Yifan Huang, Mitsuhiro Kamezaki, Taiga Mori, Udara E. Manawadu, Tatsuya Ishihara, Masahiro Nakano, Kohjun Koshiji, Naoki Higo, Toshimitsu Tubaki, Shigeki Sugano, “Machine Learning Based Skill-level Classification for Personal Mobility Devices Using Only Operational Characteristics,” Proceedings of 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2018), pp. 5469-5476, 2018.
  • Udara E. Manawadu, Takaaki Ema, Hiroaki Hayashi, Takahiro Kawano, Mitsuhiro Kamezaki, Shigeki Sugano, “Tactical-Level Input with Multimodal Feedback for Unscheduled Takeover Situations in Human-Centered Automated Vehicles,” Proceedings of 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM2018), pp. 1-6, 2018.
  • Udara E. Manawadu, Takahiro Kawano, Shingo Murata, Mitsuhiro Kamezaki, Junya Muramatsu, Shigeki Sugano, “Multiclass Classification of Driver Perceived Workload Using Long Short-Term Memory based Recurrent Neural Network,” Proceedings of 2018 IEEE Intelligent Vehicles Symposium (IV 2018), pp. 2009-2014, 2018.
  • Udara E. Manawadu, Mitsuhiro Kamezaki, Shigeki Sugano, “Human-Agent Collaborative Control in Automated Vehicles for Takeover Situations in Dynamic Unstructured Urban Environments,” Workshop on Robot Teammates Operating in Dynamic, Unstructured Environments (RT-DUNE), 2018 IEEE International Conference on Robotics and Automation (ICRA2018), pp. 1-2, 2018.
  • Udara E. Manawadu, Takahiro Kawano, Shingo Murata, Mitsuhiro Kamezaki, Shigeki Sugano, “Estimating driver workload with systematically varying traffic complexity using machine learning: Experimental design,” Advances in Intelligent Systems and Computing, vol. 722, pp. 106-111, 2018.
  • Udara E. Manawadu, Mitsuhiro Kamezaki, Masaaki Ishikawa, Takahiro Kawano, Shigeki Sugano, “A multimodal human-machine interface enabling situation-Adaptive control inputs for highly automated vehicles,” IEEE Intelligent Vehicles Symposium, Proceedings,” pp. 1195-1200, 2017.
  • Udara E. Manawadu, Mitsuhiro Kamezaki, Masaaki Ishikawa, Takahiro Kawano, Shigeki Sugano, “A Hand Gesture based Driver-Vehicle Interface to Control Lateral and Longitudinal Motions of an Autonomous Vehicle,” 2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp. 1785-1790, 2016.
  • Udara E. Manawadu, Mitsuhiro Kamezaki, Masaaki Ishikawa, Takahiro Kawano, Shigeki Sugano, “A Haptic Feedback Driver-Vehicle Interface for Controlling Lateral and Longitudinal Motions of Autonomous Vehicles,” 2016 IEEE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), pp. 119-124, 2016.
  • Udara Eshan Manawadu, Masaaki Ishikawa, Mitsuhiro Kamezaki, and Shigeki Sugano, “Analysis of Preference for Autonomous Driving Under Different Traffic Conditions Using a Driving Simulator,” Journal of Robotics and Mechatronics, vol. 27, no. 6, pp. 660-670, 2015.
  • Manawadu Udara, Ishikawa Masaaki, Kamezaki Mitsuhiro, and Sugano Shigeki, “Scenario Authoring for a Driving Simulator to Evaluate Driver Experience in Intelligent Autonomous Vehicles,” Proceedings of 6th International Conference on Advanced Mechatronics 2015 (ICAM2015), pp. 94-95, 2015.
  • Udara Eshan Manawadu, Masaaki Ishikawa, Mitsuhiro Kamezaki, Shigeki Sugano, “Analysis of Preference for Autonomous Driving Under Different Traffic Conditions Using a Driving Simulator,” Journal of Robotics and Mechatronics, vol. 27, no. 6, pp. 660-670, 2015.
  • Udara Manawadu, Masaaki Ishikawa, Mitsuhiro Kamezaki, and Shigeki Sugano, “Analysis of Individual Driving Experience in Autonomous and Human-Driven Vehicles Using a Driving Simulator,” 2015 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), pp. 299-304, 2015.

国内学会

  • 岩崎，林，亀﨑，菅野，“Image Inpaintingを用いたハンドル映り込み画像における運転者姿勢推定の高精度化”，自動車技術会論文集，54巻，3号，2023年．
  • 岩崎，亀﨑，林，菅野，“多次元LSTMとGMMを用いた教師無し学習による特徴量間の関係を考慮した運転行動評価システム”，日本ロボット学会学術講演会予稿集(CD-ROM)，2023年．
  • 富田、亀﨑、マナワドゥ、河野、江馬、林、菅野、“運転者の負荷に応じて伝達モダリティを調整する注意喚起システムの開発”、SICE-SI部門講演会、2916-2919、2019年12月．
  • 亀﨑允啓, マナワドゥ ウダーラ, 河野陽大, 石川雅晃, 菅野重樹, 高度自動運転車における半自動制御のための相互作用型力触覚インタフェースの提案, 日本機械学会論文集, vol. 84, no. 864, pp. 1-13, 2018.
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