The intelligent automation research team of Chongqing University was established in 2012. At present, the team has formed a scale of 1 professor and 8 associate professors. The work content covers a complete system of theoretical research, project development, and industrialization promotion.
The intelligent automation team aims at the forefront of intelligent technology development, closely combines the strategic needs of the country's intelligent transportation and intelligent manufacturing development, based on artificial intelligence, system control theory and cyber-physical system (CPS) approach, and researches on theories and methods of intelligent perception, analysis and decision control for the integration of sensing, computing, communication and control, as well as new intelligent automation technologies for the transportation and manufacturing industries. The main research directions of the team are as follows:
(1) Intelligent transportation systems and intelligent connected vehicles: traffic cyber-physical systems, vehicle-road coordination and intelligent driving, intelligent transportation system planning, human-vehicle coordination and safe driving, traffic forecasting and trend analysis.
(2) Intelligent perception and credibility analysis based on Internet+: video detection and intelligent image analysis, vehicle road perception and status recognition, traffic big data, RFID and Internet of Things technology.
(3) Intelligent manufacturing, equipment and logistics automation: intelligent detection and control of complex process parameters, manufacturing execution systems, state perception and optimal scheduling of manufacturing and logistics.
In terms of theoretical research, the team continue to carry out research around the theory and key technologies of the Traffic Cyber-Physics System (T-CPS), forming a distinctive and stable research direction. Introducing cyber-physical integration into the transportation field, it proposed the basic architecture and key technologies of T-CPS for the first time, and established a cyber-physical system for vehicle-vehicle collaborative driving and man-machine co-driving in response to typical frontier issues, laying the theoretical foundation for a new generation of autonomous driving technology. The team undertakes to complete more than 60 scientific research projects such as the National Key Research and Development Program, National 863, National Science and Technology Research, National Support Program, National Natural Science Foundation, Doctoral Fund, Chongqing Science and Technology Research, and Military Science and Technology Projects. Won 1 second prize of National Science and Technology Progress Award, 4 provincial and ministerial science and technology first prizes, 3 second prizes, 3 third prizes, 1 second prize of Science and Technology Award of China Intelligent Transportation Association and 1 national excellent doctorate dissertation in the field of national intelligent transportation. The team has published more than 300 papers in domestic and foreign academic journals (over 110 SCI/EI search), applied for and obtained more than 200 invention patents, and 1 academic monograph from the Science Publishing Fund of the Chinese Academy of Sciences.
In terms of application development and industrialization promotion, the team cooperates with large and medium-sized enterprises such as Ford Motor Company, General Motors Group, Chongqing Expressway Group, China Automotive Research Institute, etc., and undertakes more than 50 enterprise entrusted and cooperative research and development of important scientific and technological development projects and industrialization projects item. A breakthrough has been made in T-CPS’s intelligent perception technology for complex scenes, supporting the completion of the first provincial-level region (Chongqing) vehicle passive electronic identification and application system. In the fields of abnormal state video monitoring of expressways, state perception and trend analysis of expressways, and big data analysis of public transportation, many technical problems have been overcome for enterprises and society, and hundreds of millions of economic and social benefits have been generated. On this basis, A number of industry and local standards for manufacturing RFID technology, vehicle electronic identification and information collection systems have been formed. A large number of its application results have been recognized and highly praised by experts in the industry and related fields, as well as relevant government departments. At the same time, the work has also been highly praised by the Ford Motor Company of the United States, and has won 3 consecutive international scientific and technological cooperation projects.
In terms of strategic and fundamental major scientific issues and major common key technology research, the team actively undertakes major national scientific and technological tasks. In 2021, Professor Sun Dihua, as the project leader, was approved the National Key R&D Program. This project is a historic breakthrough in the scientific research of the School of Automation, and it is also the first National Key R&D Program undertaken by the school as the project leader. This project belongs to the "New Energy Vehicle" special project, the direction of intelligent vehicle cyber-physical system technology (basic cutting-edge technology). It is helpful to seize the strategic commanding heights of the forward-looking technology of intelligent vehicles, and lay a theoretical and technical foundation for the innovative development of intelligent vehicles industry.
Team contact information:
Team Contact: Zhao Min.
Telephone: 15826819593
Address: Shazheng Street174#, Shapingba District,Chongqing, 400044,China.
