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.
Sun, Tianfu; Yang, Riyang; Li, Huiyun; Zhang, Xin; Xu, Tiantian，Active Motor Rotor Temperature Management Based on One-Node Thermal Network Model Predictive Control，IEEE TRANSACTIONS ON POWER ELECTRONICS，35(10):11213-11221，2020（IF=6.373
Sun, Tianfu; Wang, Jiabin; Jia, Chengli; Peng, Lei，Integration of FOC With DFVC for Interior Permanent Magnet Synchronous Machine Drives，IEEE ACCESS，8:97935-97945，2020，IF=3.745，SCI，中科院2区）
Kuiqing Zhang; Tianfu Sun; Gang Xie; Junjie Zhang; Guangyang Xiong; Jianing Liang; Shaojia He,High-Fidelity Model for Interior Permanent Magnet Synchronous Machines Considering the Magnet Saturation and Spatial Harmonics Based on Deep Neural Network,International Conference on Electrical Machines and Systems (ICEMS2019)