研究方向
1.自動駕駛感知、決策和控制;
2.人-車-路協同控制;
3.汽車電磁兼容性;
4.基於模型的系統開發技術;
人物經歷
1997年9月~07年2月就讀於清華大學汽車工程系,先後獲學士和博士(碩博連讀)學位,師從李克強教授。畢業後至13年2月就職於長安汽車研究院,任室主任和專家。先後負責汽車EMC開發,整車HIL測試,軟硬體可靠性,ADAS、EMS等自主開發。13年2月“百人計畫”引進到重慶大學。
發表論文
[1].Jianli Duan, Feng Gao*, Yingdong He. Test scenario generation and optimization technology for intelligent driving systems. IEEE Intelligent Transportation Systems Magazine, Accepted (SCI二區)
[2].Ping Wu, Feng Gao*, Keqiang Li. A vehicle type dependent car-following model based on naturalistic driving study. Electronics, 2019, 8(4): 453-468 (SCI三區)
[3].Feng Gao*, Xiaosong Hu, Shengbo Eben Li, Keqiang Liand et al. Distributed adaptive sliding mode control of vehicular platoon with uncertain interaction topology. IEEE Transactions on Industrial Electronics, 2018, 65(8): 6352-6361 (SCI一區)
[4].Cunxue Wu, Feng Gao*, Haizhe Dai and et al. A topology based approach to improve vehicle-Level electromagnetic radiation. Electronics, 2019, 8(3): 364-376 (SCI三區)
[5].Shenbo Eben Li, Feng Gao*, Keqiang Li and et al. Robust longitudinal control of multi-vehicle systems-a distributed H-infinity method. IEEE Transactions on Intelligent Transportation Systems, 2018, 19(9): 2779-2788 (ESI高被引,SCI二區)
[6].Feng Gao*, Jianli Duan and et al. A test scenario automatic generation strategy for intelligent driving systems. Mathematical Problems in Engineering, 2019, no. 3737486 (SCI四區)
[7].Bao Liu, Feng Gao*, Yingdong He and et al. Robust control of heterogeneous vehicular platoon with non-ideal communication. Electronics, 2019, 8(2): 207-221 (SCI三區)
[8].Li Shengbo Eben, Gao Feng*, Cao Dongpu, Li Keqiang. Multiple-model switching control of vehicle longitudinal dynamics for platoon level automation. IEEE Transactions on Vehicular Technology, 2016, 65(6): 4480-4492 (SCI二區)
[9].Keqiang Li, Feng Gao and et al. Robust cooperation of connected vehicle systems with eigenvalue-bounded interaction topologies in the presence of uncertain dynamics. Frontiers of Mechanical Engineering, 2018, 13(3): 354-367 (SCI四區)
[10].Qin Xia, Jianli Duan, Feng Gao* and et al. Test scenario design for intelligent driving system ensuring coverage and effectiveness. International Journal of Automotive Technology, 2018, 19(4): 751-758 (SCI四區)