文、圖 ◎ 系辦公室
本系自111年1月1日起至111年12月31日透過財團法人中技社補助，延攬美國加州大學柏克萊分校詹景堯博士擔任本系客座教授，並參與本系「AI自主駕駛電動車設計與實務」課程之教學。希望借重詹博士三十多年於國際車輛自動化、智慧運輸系統及自駕車AI技術之研究與實務經驗，透過參與本門課程之教學及訓練教材精進，促進我國中高階智慧車電技術研發人才的培育，並且將詹博士近幾年在UC-Berkeley推動國際性大型自駕車AI研究計畫（BDD，每年研究經費約6百多萬美金）的研發成果與心得，傳承給國內學界與產業界，進而提升我國在自駕車、智慧車電的基礎研發能量。
█ 詹景堯博士於工綜館演講
同時邀請詹博士3月28日進行演講，講題為：When AI meets AV，摘要如下：
The speaker will first provide an overview of latest developments in autonomous vehicles (AV). He will address the functional blocks of AV before transition to a review of performance issues. He will then share his perspectives on the emergence of artificial intelligence (AI) and its applications in autonomous driving, including some coverage of research activities at Berkeley DeepDrive. He will conclude with remarks on the challenges and opportunities encountered in the convergence of AV and AI.
SHORT BIOGRAPHY:
Dr. Ching-Yao Chan is Co-Director of Berkeley DeepDrive (BDD). Dr. Chan leads BDD projects on intelligent autonomy of dynamic systems. His recent projects involve deep reinforcement learning, meta-learning, pedestrian trajectory projection, multi-person action forecasting based on machine learning, and radar-camera sensor fusion.
Dr. Chan is a Research Faculty at California PATH (Partners for Advanced Transportation Technology). At PATH, Dr. Chan leads research projects in automation, advanced technologies, human factors, and transportation systems.
Dr. Chan has three decades of research experience in a broad range of automotive and transportation systems. His research ranges from automated systems, sensing and wireless communication technologies, data analytics and safety assessment, to applications of artificial intelligence on autonomy.
Dr. Chan is a Visiting Professor at National Taiwan University in 2022. He also serves as a member of the board of directors for the School of Computing, National Cheng-Kung University, Taiwan. He was a Visiting Professor at University of Tokyo in 2006-2007.
More information about Dr. Chan can be found here.
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