Rchr
J-GLOBAL ID：202101019833251500   Update date: Feb. 01, 2024

Ito Toshio

イトウ トシオ | Ito Toshio
Affiliation and department：
Shibaura Institute of Technology College of Systems Engineering and Science Department of Machinery and Control Systems

About Shibaura Institute of Technology College of Systems Engineering and Science Department of Machinery and Control Systems


Job title： Professor
Research theme for competitive and other funds  (3)：
  • 2022 - 2025 Construction of high accuracy 3D map for automated driving of mobility scooter
  • 2017 - 2020 Study on Construction of High Accuracy Point Cloud Map for Mobility Scooter
  • 2016 - 2019 Development of safe automated driving system based on the relationship between driver's unconscious brain activity and attention
Papers (36)：
  • Hideo Araki, Kenichi Yamada, Yasuhisa Hiroshima, Toshio Ito. Development of rear-end collision avoidance system. JSAE review. 2021. 18. 3. 314-316
  • Muhammad Zulfaqar Azmi, Toshio Ito. Artificial potential field with discrete map transformation for feasible indoor path planning. Applied Sciences (Switzerland). 2020. 10. 24. 1-13
  • Toshio Ito, Shuji Sudo. Raising driver attentiveness with unconscious learning effect. Procedia Computer Science. 2018. 126. 891-898
  • Jittima Varagul, Toshio Ito. General object detection method by on-board computer vision with Artificial Neural Networks. International Journal of Automotive Engineering. 2017. 8. 4. 149-156
  • Toshio Ito, Ryohei Kaneyasu. Predicting traffic congestion using driver behavior. Procedia Computer Science. 2017. 112. 1288-1297
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MISC (201)：
  • 石田泰之, SOFIAN Mohd Hafiz Hilman bin Mohammad, 伊東敏夫. Traffic Light Detection for Driving Environment Recognition Using Omnidirectional Camera. 自動車技術会大会学術講演会講演予稿集(CD-ROM). 2020. 2020
  • 阿部晃大, 伊東敏夫, MORRIS Andrew. Comparison of Reaction Time by Driver State in Take-over from Automated to Manual Driving. 自動車技術会大会学術講演会講演予稿集(CD-ROM). 2020. 2020
  • 伊東敏夫. 自動運転へ向けたセンシング技術 LiDARを中心とするセンシング技術とノイズ付加による性能向上. 電磁環境工学情報EMC. 2020. 33. 2
  • 伊東敏夫. ADAS,自動運転へ向けたAI,機械学習の開発動向 深層学習を用いた車載カメラによる歩行者検出と認識精度向上. 月刊車載テクノロジー. 2020. 7. 8
  • 石田泰之, SOFIAN Mohd Hafiz Hilman bin Mohammad, 伊東敏夫. Traffic Light Detection for Driving Environment Recognition Considering the Appearance of Omnidirectional Images. 自動車技術会大会学術講演会講演予稿集(Web). 2020. 2020
ｍore...
Patents (15)：
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※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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