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.
Runsong Jiang; Zhangjie Liu; Huiyun Li. Evolution towards Optimal Driving Strategies for Large-scale Autonomous Vehicles, IET Intelligent Transport Systems, 2021, SCI二区.
Huang, Hui; Li, Huiyun; Shao, Cuiping; Sun, Tianfu; Fang, Wenqi; Dang, Shaobo. Data Redundancy Mitigation in V2X Based Collective Perceptions, IEEE ACCESS, 2020, SCI一区.
Zhangjie Liu; Huiyun Li. Optimal Driving Policies Emergency for Large-scale Autonomous Vehicles based on Multi-objective Co-evolutionary Algorithms, Journal of Integration Technology, 2020.
A Decision Emergence Method for Autonomous Vehicles Based on Co-evolution, patent for invention, 2020-01-20.
The invention relates to a method and device for generating decision network model for vehicle autonomous driving, patent for invention, 2017-03-30.