指導老師: 謝依芸 教授
專案經理: 楊建恆
實習名額: 1-2位
是否同意遠距: 是
專案類型: 探索型 (預期讓實習生體驗研究的過程，並探索研究興趣與方向)
隨著自動駕駛車輛（AVs）的技術變得穩定，交通運輸將邁入全新的時代，並可提高效率、安全性及可持續性。在相較容易預測及封閉的校區內，自駕車可以為學生和教職員工的需求提供理想的服務。
電腦視覺在此研究架構中通過影像識別，能夠更好地解讀其周圍環境。另外，在校園內有效地進行路徑規劃將最佳化時間和能源成本，並且將速度限制、行人安全和交通密度納入考量。此外，研究旨在探討自駕車的安全信任度，並展示強調使用者信任度的模型在校園動態環境中運行的穩定性。
The emergence of autonomous vehicles (AVs) has rebuilt the concept of transportation, offering a potential solution to issues of efficiency, safety, and sustainability. In the predictable environment of a campus, AVs can provide an ideal solution for the mobility needs of students, faculty, and staff.
Computer vision plays a critical role in this framework. By incorporating advanced image recognition techniques, AVs can better understand and navigate their surroundings. The other specific focus of the research is on optimizing the routes taken by AVs within a campus setting. This involves creating algorithms that find the most efficient paths considering factors such as variable speed limits, pedestrians’ safety, and traffic density. Also, the research aims to address the trust issues associated with AV technology. By demonstrating the effectiveness of trust-driven AI and computer vision in reliably navigating a complex and dynamic environment like a campus, this research seeks to build confidence among users and stakeholders.
