Based on the development of the intelligent driving vehicles and the related key technologies, systematic interdisciplinary research has been carried out from the communications security, laser radar, machine vision, active safety, energy saving such aspects.
Research on the information fusion technology of the vehicle radar and machine vision and new technology of space 3D information construction in visual detection and measurement technology
2.Autonomous driving decision
Based on the framework of deep reinforcement learning, to construct the automatic driving strategy learning model and to improve the training efficiency using parallel computing.
3.Car network communication security
Research on the encryption and decryption, identity authentication and key distribution of vehicle network access, safe driving, billing management, traffic management and data communication.
Through the path planning and speed adjustment to achieve energy-saving, combined with large traffic data, so as to achieve energy conservation from the city level.
Zheng Chun-hua, Li Wei, Research on the Application of Reinforcement Learning in Hybrid Electric Vehicle Energy Management, Journal of Harbin University of Science and Technology, 2020
LI Wei, ZHENG Chunhua, XU Dezhou, Research on Energy Management Strategy of Fuel Cell Hybrid Vehicles Based on Deep Reinforcement Learning, JOURNAL OF INTEGRATION TECHNOLOGY, 2020
Li Wei, Zheng Chunhua, Research on Intelligent Energy Management Strategy of Fuel Cell Hybrid Vehicle, China Society of Automotive Engineers, 2020
（1）The invention relates to a method and equipment for verifying an automotive energy management strategy, China patent for invention, 2019/12/12
（2）The invention relates to a method and equipment for verifying an automotive energy management strategy, PCT patent, 2019/12/12