Cultivating the new generation of Autonomous Driving talents! The first autonomous driving course at FST ended successfully
致力培養新一代自動駕駛業精英! 澳大科技學院首次自動駕駛課程圓滿落幕

After the launch of the “Macao Autonomous Driving Bus Testing Platform”, the first autonomous driving intensive course held by the Faculty of Science and Technology (FST) came to its end today (30th). FST has been committed to developing talents for the collaborative intelligent autonomous driving platform and experimental base of the autonomous driving group in the Guangdong-Hong Kong-Macao Greater Bay Area. This intensive course on Connected and Autonomous Driving lasted for 2 weeks and was organized by FST and the State Key Laboratory of Internet of Things for Smart City (SKL-IoTSC) and and Institute of Collaborative Innovation (ICI). Due to the overwhelming response and space limit, a total of 75 students were selected, of which 25 participated through online platform. FST will continue to organize relative courses and seminars in the near future, so as to cultivate the new generation in the field of autonomous driving and provide a solid foundation for the future development of the industry.

Intelligent transport represents the future of the automotive industry, in order to meet the demand of relevant talents, FST has specially organise this course to build up students’ understanding regarding the collaborative intelligent autonomous driving platform. The field of autonomous driving covers a wide range of areas, therefore, a number of professional scholars, including Prof Xu Cheng-Zhong, Dean of the FST, Prof Jiantao Zhou, Prof U Leong Hou, Prof Wu Yuan and Prof Kou Kun Pang who are the Associate Professors of FST and SKL-IoTSC , Li Zhenning and Chan Hou Pong, Research fellow of the University of Macau (UM), and Prof Kong Hui of Nanjing University of Science and Technology. Also, Liu Yandong from the Shenzhen Advanced Institute of the Chinese Academy of Sciences and Xiao Zehe, a research assistant of UM, are responsible for the experimental guidance. The learning content is comprehensive and practical, including the introduction of core technologies of autonomous driving, V2X communication and edge computing for connected vehicles, modeling and analysis of hybrid human/autonomous driving, as well as data and knowledge fusion for connected and autonomous driving. Except for the lectures taught by the knowledgeable scholars, the experimental courses provided by the course offer students an opportunity to strengthen their learning. Students are required to form groups to complete various algorithm codes, debug sensors, develop and implement autonomous driving in Carla simulation scenarios and Baidu Apollo. The theory and practice were successfully integrated into the intensive course. The course was running simultaneously in face-to-face classes and online classes which can become an important and valuable experience for the teaching of autonomous driving courses in the future.

At the closing ceremony of the intensive course, students from each group showed their experimental results on stage. Among the students is a science teacher from Macau Pui Ching Middle School. Associate Dean and all department heads of FST came to witness students’ learning achievements and presented certificates to them. As a trend of the development of the automotive industry, the autonomous driving technology has become a crucial technology. UM will continue to shoulder the responsibility for cultivating scientific talents and accelerating the development of a new generation of intelligent autonomous driving.

繼早前 “澳門自動駕駛巴士測試平台” 正式啟動後，科技學院首次舉辦的自動駕駛課程今天(30日)圓滿落幕。學院一直致力為粵港澳大灣區的自動駕駛群體智能協同控制平台和實驗基地提供人才培養，是次車聯網和自動駕駛強化課程長約2星期，由科技學院、智慧城市物聯網國家重點實驗室舉辦及協同創新研究院。由於反應熱烈及名額有限，最終共有75位學生獲選，當中25位是透過線上平台參與。未來學院將持續舉辦相關教育，期望能在自動駕駛領域積累人才優勢，為產業未來發展提供紮實的基礎。

自動駕駛是未來汽車工業發展的必然趨勢，為滿足相關人才的需求，學院特意設立此課程以建立學生對協同智能自動駕駛平台的了解。由於自動駕駛涉及範圍廣泛，內容由多位專業學者講解，包括科技學院院長須成忠教授、科技學院及智慧城市物聯網國家重點實驗室副教授周建濤、余亮豪、吳遠及高冠鵬、澳大博士后研究員李振寧及陳浩邦，以及南京理工大學孔慧教授，另外還有中科院深圳先進院劉延東及澳大研究助理肖則和等負責實驗輔導工作。內容豐富且全面，當中包括自動駕駛的核心關鍵技術的介紹、互聯車輛的V2X通信和邊緣計算、混合人/自動駕駛的建模與分析以及數據和知識融合等。除了由專業學者講解外，課程提供的實驗課讓同學有機會強化學習，同學們分組編寫各種算法代碼，調試傳感器，親手開發並在Carla仿真場景和百度Apollo中實現自動駕駛。首次舉辦的聯網和自動駕駛課程成功結合了理論與實踐領域，部份學生更經網上平台參與，為往後自動駕駛課程的在線教學提供重要及寶貴的經驗。

課程結業儀式上，各組別的學生在台上展示實驗成果，學生中更有一位來自澳門培正中學科學教師。科技學院副院長及各學系系主任一同蒞臨頒授證書，見證學生的學習成果。作為未來汽車工業發展的必然趨勢，開發自動駕駛車輛技術已趨向世界性潮流，澳大將繼續肩負培養科研人才的責任，加快推動新一代智能自動駕駛發展。