COVER STORY • 封面專題 2023 UMAGAZINE 27 • 澳大新語 25 Intelligent transportation is a key component of smart cities as it enables people to avoid risks on the road. Among the many technologies in this field, autonomous driving and the intelligent networking of vehicles and infrastructure have drawn a lot of attention and become global technology battlegrounds. Focusing on these core technologies in the future of transportation, an intelligent transportation research group of the State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC) at the University of Macau (UM) strives to solve scientific problems to enable the coexistence of manual and autonomous driving in large-scale, complex, and uncertain environments. This will contribute to the development of a safe, efficient, and intelligent transportation system. Key Intelligent Driving Technologies Autonomous driving technology, an iconic application area of artificial intelligence, is trending in the global automobile industry today. However, implementing this technology still presents many challenges. The research group, led by Xu Chengzhong, dean of the Faculty of Science and Technology, interim director of the Institute of Collaborative Innovation and chair professor in the Department of Computer and Information Science, focuses on two major scientific topics. These topics include ‘swarm intelligence and cooperative control of connected vehicles in large-scale and complex situations’ and ‘high robustness and adaptability of autonomous driving in uncertain open environments.’ The group studies the applications of advanced technologies such as the Internet of Things (IoT), 5G communications, cloud computing, and artificial intelligence in autonomous driving. In 2020, a research project led by the group, titled ‘Key Technologies and Platforms for Collaborative Intelligence‐driven Autonomous Vehicles’ was awarded funding by the Macao Science and Technology Development Fund as a key R&D project in artificial intelligence, becoming one of the largest research projects in Macao’s history. The project brought together a number of leading institutes in the field of autonomous driving in China. In the past three years, UM has collaborated with the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences (CAS) and proposed a new model robustness evaluation for autonomous driving technology, laying the foundation for a truly safe autonomous driving system. The research results were presented at the Conference on Computer Vision and Pattern Recognition (CVPR) 2021, which had a paper acceptance rate of only 4.59 per cent. CVPR is one of two important conferences in artificial intelligence. The team’s results were also presented at the Conference on Neural Information Processing Systems 2022, and will be showcased again at CVPR in 2023. In addition, the group has made breakthroughs in the perceptual, cognitive, decision-making, and planning ability of intelligent driving technology and has published over 100 papers in top conferences and journals, such as international academic conferences recommended by the China Computer Federation (category A and B) and IEEE journals. The group has also won several awards in major international competitions, including the CVPR2021 Security AI Challenger and CVPR2022 3D Object Detection Competition. Autonomous Bus On the road, traffic scenarios vary with a high degree of complexity and diversity, so it is difficult to cover all scenarios with data-driven models. This is a key issue to address in the field of autonomous driving. To enable safe and intelligent driving, the group is constantly working to improve vehicles’ ability to detect the external environment by using various perception technologies. The group has developed 須成忠教授 Prof Xu Chengzhong
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