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。