Lab of Intelligent and Connected Vehicles

Lab of Intelligent and Connected Vehicles of Tsinghua University

          The Lab of Intelligent and Connected Vehicles of Tsinghua University was founded in the 1980s, formerly known as NVH Research Group and Vehicle Control and Intelligent Transportation Laboratory. Based at the School of Vehicle and Mobility of Tsinghua university and State Key Laboratory of Automotive Safety and Energy, the lab has been carrying out theoretical and technical research over the years in such cutting-edge fields as multi-model global perception, brain-like intelligent decision-making, vehicle-road-cloud fusion control, dynamic design and integration of complex system, and has built the comprehensive trinity research model of “theory-technology– product”. Currently, 15 faculty members are engaged in it, consisting of 8 professors, 4 associated professors and 3 research associates, entitled with the following honors, including 2 Distinguished Professors of Cheung Kong Scholars Program, 1 Winner of National Science Fund for Distinguished Young Scholars, 2 Leading Talents of Science and Technology Innovation of Ten Thousand Talents Plan, 2 Young and Middle-aged Leading Talents of Science and Technology Innovation, 1 Winner of National Science Fund for Excellent Young Scholars, and 1 Young Scholar of Cheung Kong Scholars Program.

        The lab has undertaken national projects of great significance, including 2 key R & D projects in the “13th Five-Year Plan”: “Research on Fundamental Issues of Perception, Decision-making and Control of Intelligent Electric Vehicles” and “Research on Environment Perception Technology of Autonomous Electric Vehicles”; 1 National Program on Key Basic Research Project (973 Program): “Critical State Estimation and Parameter Identification of Vehicle Dynamics System”; 18 projects sponsored by Natural Science Fund of China (NSFC): “Intelligent Safety of Vehicles”(Distinguished Young Scholars), “System Dynamics and Coordinated Control of Intelligent Vehicles” (Excellent Young Scholars), “Dynamic Modeling and Instability Risk Identification for Human-vehicle-road Closed-loop System Under Extreme Conditions” (NSFC Major Program), “Longitudinal Dynamic Behavior and Coordinated Control Method of Intelligent Vehicle” (NSFC Key Program), “Research on Dynamic Characteristics and Coordinated Control Method for Human-machine Co-driving Intelligent Vehicles” (NSFC Key Program), “Intelligent Holographic Fusion of Automatic Driving Vehicle Sensor Data Based on Consistent Super Sensing Container (NSFC Key Program),etc.; and 8 “863” Programs: “New Concept System Technology for Intelligent Environment-friendly Vehicles”, “Research on Intelligent Coordinated Control Technology for Multi-target Traffic Signals and Driving Vehicles”, etc.

         The lab has led the establishment of Intelligent and Connected Vehicles Joint Research Center of Tsinghua University, Ministry of Education—China Mobile Communications Corporation Joint Laboratory for Internet of Vehicles, Tsinghua University ( Department of Automotive Engineering)—Nissan Intelligent Mobility Joint Research Center, Tsinghua University—Toyota Research Center on Artificial Intelligence Technology of Automatic Driving Vehicle, and Tsinghua University (Department of Automotive Engineering)—Daimler Joint Research Center for Sustainable Transportation, etc. At the same time, it cooperates closely with domestic automobile enterprises such as CHANGAN, BAIC, FAW and DONGFENG, and international partners such as Mercedes Benz, Nissan and Toyota, jointly carrying out fundamental problems tackling and industrial application for intelligent vehicles and internet of vehicles technology.

         The lab has made internationally remarkable achievements in a number of research areas including unified common structure of intelligent driving assistance system, driving risk quantitative assessment and safety field modeling, connected multi-vehicle dynamics decoupling and distributed control, automobile safety/energy saving/ comfort multi-target coordinated control, etc. And it has successively won 2 National Award for Technological Invention (second prize)—“New Technology and Application of Vehicle Intelligent Safety Based on Driving Environment Perception and Coordinated Control” and “Noise Comprehensive Identification and Control Technology of Moving Vehicle”; 3 National Award for Scientific and Technological Progress (second prize)—“Key Technology and Application of High Performance Electric Power Steering System Based on Road Sense Tracking”, “Key Technology and Application of Vehicle Networking Perception and Intelligent Driving Service” and “Key Technology and Industrialization of Intelligent Driving Assistant System Based on Common Structure” , and 5 first prizes at the provincial, ministerial and industrial levels. In addition, it obtained 6 Best Paper Awards at international conferences such as IEEE International Intelligent Vehicles Symposium and International Conference on Intelligent Transportation. The lab has played an important role in the national strategic planning of intelligent and connected vehicles, by completing the Technical Roadmap of China on Intelligent and Connected Vehicles and pushing forward the formulation of a series of national and industrial standards in the field of intelligent vehicles. And it has directed the establishment of China’s first university industrial incubator in the automotive field, Automotive Research Institute (Suzhou) of Tsinghua University, actively promoting the industrial transformation of scientific and technological achievements. Moreover, it has set up China’s first automobile intelligent safety production line with independent intellectual property rights, which breaks the technological monopoly of developed countries, enhances the development level and product competitiveness of China’s automobile intelligent driving assistance system, and makes a significant contribution to the industrialization of automobile intelligent technology in China.

Fusion Perception—Complex Environment Perception

1. Vehicle On-board Multi-target Tracking and Motion Prediction Method for Vulnerable Road User

  • Research Background

       Vulnerable road users, such as pedestrians, riders or other cyclists, are common and diverse in actual traffic scenarios, yet they are susceptible and need to be protected. The detection is the first step to protect them. It needs to further track the positions of the same target between consecutive frames, form a motion trajectory and achie...

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