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発表論文など:
Hiroaki Hayashi, Naoki Oka, Shigeki Sugano, and Mitsuhiro Kamezaki, “TUN-DAS: Time-Series Analysis and Unsupervised Learning based Driving Behavior Assessment System,” IEEE Transactions on Intelligent Transportation Systems (T-ITS), vol. 26, no. 1, pp. 604-619, Jan. 2025. https://doi.org/10.1109/TITS.2024.3484452
岩崎陽馬,林弘昭,亀﨑允啓,菅野重樹,“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,vol. 54,no. 3,pp. 528-533,2023年3月20日.https://doi.org/10.11351/jsaeronbun.54.528
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. 1-16, Aug. 1, 2022. https://doi.org/10.3390/s22155857 (Impact Factor: 3.874)
Hiroaki Hayashi, Mitsuhiro Kamezaki, and Shigeki Sugano, “Toward Health-Related Accident Prevention: Symptom Detection and Intervention based on Driver Monitoring and Verbal Interaction,” IEEE Open Journal of Intelligent Transportation Systems (OJITS), vol. 2, no. 1, pp. 240-253, Aug. 3, 2021. https://doi.org/10.1109/OJITS.2021.3102125
Hiroaki Hayashi, Naoki Oka, Mitsuhiro Kamezaki, and Shigeki Sugano, “Development of a Situational Awareness Estimation Model Considering Traffic Environment for Unscheduled Takeover Situations,” International Journal of Intelligent Transportation Systems Research (IJIT), vol. 19, no. 1, pp. 167-181, Oct. 20, 2020. https://doi.org/10.1007/s13177-020-00231-4
Udara Manawadu, Takahiro Kawano, Shingo Murata, Mitsuhiro Kamezaki, and Shigeki Sugano, “Estimating Driver Workload with Systematically Varying Traffic Complexity Using Machine Learning: Experimental Design,” in International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems (IHSI 2018), Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 722), pp. 106-111, Jan. 2018. (Book chapter) https://doi.org/10.1007/978-3-319-73888-8
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 (JRM), Vol. 27, No. 6, pp. 660-670, Dec. 2015. https://doi.org/10.20965/jrm.2015.p0660
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, June 4-7, 2023, Anchorage, Alaska, USA.
岩崎陽馬,亀﨑允啓,江馬敬明,岡直樹,マナワドゥ ウダーラ,菅野重樹,“運転者の生体・行動・主観指標を用いた運転負担推定に関する研究~半教師あり学習による識別モデルの高精度化~”,日本機械学会ロボティクス・メカトロニクス講演会2022論文集(Robomech’22),paper no. 1A1-H09,2022年6月5~8日,札幌.
Catherine Lollett, Mitsuhiro Kamezaki, and 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, May 23-27, 2022.
Miankuan Zhu, Haobo Li, Jiangfan Chen, Mitsuhiro Kamezaki, Zutao Zhang, Zexi Hua, and Shigeki Sugano, “EEG-based System Using Deep Learning and Attention Mechanism for Driver Drowsiness Detection,” Proceedings of 2021 IEEE Intelligent Vehicles Symposium (IV 2021), pp. 280-286, July 11-15, 2021, Nagoya, Japan.
Catherine Lollett, Mitsuhiro Kamezakii, and 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, July 11-15, 2021, Nagoya, Japan.
Catherine Lollett, Hiroaki Hayashi, Mitsuhiro Kamezaki, and Shigeki Sugano, “A Robust Driver’s Gaze Zone Classification Using Single Camera for Self-occlusions and Non-aligned Head and Eyes Direction Driving Situations”, Proceedings of 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), pp. 4302–4308, Oct. 11-14, 2020, Toronto, Canada.
Hiroaki Hayashi, Mitsuhiro Kamezaki, Naoki, Oka, and Shigeki Sugano, “Development of an Abnormal Sign Detection System Based on Driver Monitoring and Voice Interaction for Preventing Medical-Condition-Caused Car Accidents,” Proceedings of 2020 IEEE Intelligent Transportation Systems Conference (ITSC 2020), pp. 779–786, Sept. 20-23, 2020, Rhodes, Greece (Online).
岡直樹,亀﨑允啓,河野陽大,江馬敬明,マナワドゥ ウダーラ,菅野重樹,“交通負荷情報と運転者の生体・行動・主観指標を用いた再帰型深層学習による運転負担推定に関する研究”,第20回計測自動制御学会システムインテグレーション部門講演会論文集(SI2019),pp. 2203-2206,2019年12月12~14日,高松,香川.
亀﨑允啓,岡直樹,石川雅晃,マナワドゥ ウダーラ,河野陽大,菅野重樹,“平面可動型力覚グリップと入出力状態提示モニタを用いた車両制御インタフェース”,日本機械学会ロボティクス・メカトロニクス講演会2019論文集(Robomech’19),paper no. 2A1-D07,2019年6月5~8日,広島.(ポスター).
林弘昭,亀﨑允啓,岡直樹,菅野重樹,“マルチモーダルモニタリングと音声対話によるドライバーの異常兆候検知システム”,自動車技術会学術講演会予稿集2021(春季),paper no. 076,2021年5月26~28日.(on-line)
Hiroaki Hayashi, Mitsuhiro Kamezaki, Udara E. Manawadu, Takahiro Kawano, Takaaki Ema, Tomoya Tomita, Lollett Catherine, and Shigeki Sugano, “A Driver Situational Awareness Estimation System Based on Standard Glance Model for Unscheduled Takeover Situations,” Proceedings of 2019 IEEE Intelligent Vehicles Symposium (IV 2019), pp. 718-723, June 9-12, 2019, Paris, France.
富田智哉,亀﨑允啓,マナワドゥ ウダーラ,河野陽大,江馬敬明,林弘昭,菅野重樹,“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”,第19回計測自動制御学会システムインテグレーション部門講演会論文集(SI2018),pp. 2916-2919,2018年12月13~15日,梅田,大阪.
Udara E. Manawadu, Takahiro Kawano, Shingo Murata, Mitsuhiro Kamezaki, Junya Muramatsu, and 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, June 26-29, 2018, Suzhou, China.
Udara Manawadu, Masaaki Ishikawa, Mitsuhiro Kamezaki, and Shigeki Sugano, “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, Dec. 2015, Tokyo, Japan.
発表論文など: