Overview

The collaborative Intelligent Autonomous Driving Project of the University of Macau (UM) is the largest research funded by the Macao Science and Technology Development Fund (FDCT). The purpose of this project is to build a first-class autonomous driving group intelligent collaborative control platform and experiment platform in Guangdong-Hong Kong-Macao Greater Bay Area. It is jointly undertaken by the Faculty of Science and Technology (FST) of UM, State Key Laboratory of Smart City Internet of Things (SKL-IoTSC), as well as the superior institute and company in Mainland, including Shenzhen Institute of Advanced Technology, National University of Defense Technology, Baidu and Hailiang Technology, etc. In response to many challenges that hinder the industrialization and application of autonomous driving, the project comprehensively utilizes artificial intelligence, big data, internet of things, cloud computing and other technologies. It focuses on the reliability and safety of intelligent driving in open and uncertain environments, as well as the core technologies such as group intelligent collaborative control of autonomous driving under complex scenarios. The project is led by Prof. Xu Cheng-Zhong, the dean of FST, interim director of the Institute of Collaborative Innovation and the chair professor of the Department of Computer Information Science.

Key Techniques

(1) Large-scale swarm intelligence in an open, dynamic and complex environment

• A. Construct human-computer interaction database based on automatically generated data;
• B. Use the latest research results of transfer learning and knowledge fusion to carry out research from new perspectives such as multi-modal adaptive visual preception, automatic scene data generation, and control strategy transfer;
• C. Research on highly adaptable and highly reliable intelligent driving technology in complex environments.

(2) Visual perception and human-computer interaction of intelligent connected driving vehicle

• A. In response to an open environment and complex scenario, it finds out the group hierarchical organization form, operating mechanism and coordination technology of large-scale smart vehicle;
• B. It applies the research results of swarm intelligence to traffic management optimization, and provides new ideas for improving the efficiency of Macao's urban traffic.

(3) Intelligent vehicle operating system and platform prototype

• A. 5G-driven low-latency, highly reliable vehicle-cloud collaboration mechanism;
• B. Establish a prototype of a group-oriented intelligent vehicle operating system and platform, and develop and autonomous driving test vehicle.

Equipped with laser radar, millimeter wave radar, camera, GPS antenna and other equipment, using artificial intelligence, automatic control, visual computing and other technologies. The experimental platform has now achieved obstacle circumvention, vehicle recognition, pedestrian detection, emergency stop, autonomous lane change, automatic stop by bus atation, etc. The safety and stability of the system have fully met the requirements of the trial operation of a bus, and it has two modes of manual and intelligent driving, which can be switched according to actual needs.