My research is aiming to enhance the development of Automated Driving System by proposing the architecture to secure the safety envelope for Automated Driving Vehicles. Along with the architecture definition, the velocity and trajectory planning are also proposed. My research aims to rigorously test and refine ADV technology in complex and dynamic scenarios, ultimately contributing valuable insights to the automated driving field and enhancing the overall safety of transportation system.
For my career planning, I would conduct my research into vehicle infrastructure company and university.

将来は引き続き「動き」や「センシング」に関する研究を行いたいと考えています。また、在学中に学問分野をまたいだ交流、そして成果の社会実装の重要性を実感し、今後ともこのような活動を推進していける力を身に付けつつ、自身の研究をより有意義な物にしていきたいと考えています。

“This research examines how artificial intelligence can support more effective and culturally appropriate circular system design for second-hand clothing. Although second-hand clothing is widely promoted as a sustainable solution, poorly matched or low-quality flows often result in waste, local environmental burdens, and social tensions when cultural beliefs and practices are ignored.

The study adopts a mixed-methods, multi-country approach across Mongolia, Japan, and a Western context. It investigates how cultural and personal beliefs influence behaviors such as donation, resale, exchange, storage, and disposal, and how these behaviors shape the composition and outcomes of circular clothing flows. Belief-based segments are identified and linked to observable patterns within circular supply chains.”