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汽车仿真与控制国家重点实验室

胡宏宇

日期:2019-03-30 12:39:49 编辑: 云顶国际:


胡宏宇,博士,副教授,博士生导师。

先后承担参与国家省部级项目及企业横向课题20余项,累计发表SCI/EI学术论文50余篇,获得吉林省自然科学学术成果奖2等奖,入选澳门云顶国际最新官网优秀青年教师培养计划(重点-精英)。

个人学习、进修经历:

2019.03-2020.03,美国加州大学伯克利分校,CALIFORNIA PATH,访问学者;

2011.01-2015.06,云顶国际 机械工程 博士后;

2007.09-2010.06 澳门云顶国际最新官网交通学院 交通信息工程及控制专业 工学博士(保送);

2005.09-2007.06 澳门云顶国际最新官网交通学院 交通信息工程及控制专业 工学硕士;

2001.09-2005.06 澳门云顶国际最新官网计算机科学与技术学院 计算机科学与技术专业 理学学士。

研究方向:

1.驾驶行为数据分析及应用

2.智能驾驶,生态驾驶

3.氢能源汽车在线供氢策略

主讲课程:

1.本科生:《车辆智能化技术》

2.研究生:《汽车智能辅助驾驶系统》,《汽车主被动安全技术》

学术兼职服务:

1.IEEE智能交通系统协会智能车辆人因技术活动委员会(TAC)委员

2.2018 IEEE 智能车辆人因论坛组织委员

3.吉林省分析测试技术学会理事

4.吉林省分析测试技术学会汽车应用分会理事长

5.2017SAECCE汽车人机交互技术论坛联合会议主席

6.2015中日智能车辆技术论坛联合会议主席

7.IEEE Transaction on Intelligent Transportation SystemsIEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Intelligent Transportation System Magazine, Proceedings of the Institution of Mechanical Engineers, Part D等国际期刊审稿专家。

承担课题:

1.国家自然科学基金面上项目,基于多模态人体生理信息的驾驶情感表达及其对驾驶行为影响机理研究,2017.01-2020.12

2.国家重点研发计划子项,自动驾驶电动汽车可靠性和环境适应性评估支撑关键技术,2018.05-2021.02

3.吉林省省级产业创新专项资金项目,车联网环境V2X主动安全系统关键技术研究,2017.01-2018.12

4.横向课题-广汽研究院,感知人机与高精度驾驶员模型开发,2017.10- 2019.03

5.横向课题-一汽技术中心,中国商用车人机参数数据库开发与人机校核关键指标构建,2015.06-2016.12

6.国家自然科学基金青年基金,基于人车冲突辨识的行人危险状态预警方法研究,2012.01-2014.12

7.国家人事部博士后科学基金特别资助,基于行为博弈的人车冲突机理分析与预测方法研究,2013.06-2015.12

8.国家人事部博士后科学基金,基于多源信息感知的人车冲突辨识与预警方法研究,2011.07-2014.07

9.吉林省自然科学基金青年基金,基于视频理解的交通事件识别方法研究,2013.06-2015.12

研究成果:

1.H. Hu, Z. Gao, Y. Sheng, et al. Traffic Density Recognition Based on Image Global Texture Feature. International Journal of Intelligent Transportation Systems Research. 2019, 17(3): 171-180.

2.H. Hu, X. Zhou, Z. Zhu, et al. A Driving Simulator Study of Young Driver’s Behavior under Angry Emotion. SAE Technical Paper 2019-01-0398, 2019.

3.Q. An, H. Hu, N. Li, et al. Strategies for improving flow rate control of hydrogen generated by Al-rich alloys for on-board applications. Journal of Hydrogen Energy. 2019, 44(24), 27695-27703.

4.Gao, Z., Li, Z., Hu, H. et al. Experimental and Numerical Study of Cervical Muscle Contraction in Frontal Impact. Automotive Innovation. 2019, 2: 93-101.

5.H. Hu, Z. Gao, Y. Sheng, et al. A Biosignal Based Driving Experience Analysis for Curved Road: An Initial Implementation. IEEE Intelligent Vehicles Symposium, 2018, 13-18.

6.H. Hu, Z. Zhu, Z. Gao, et al. Analysis on Biosignal Characteristics to Evaluate Road Rage of Younger Drivers: A Driving Simulator Study. IEEE Intelligent Vehicles Symposium, 2018, 156-161.

7.Q.An, H. Hu, N. Li, et al. Effects of Bi composition on microstructure and Al-water reactivity of Al-rich alloys with low-In. International Journal of Hydrogen Energy. 2018, 43(24), 10887-10895.

8.H. Hu, Z. Gao, Z. Yu. An Experimental Driving Simulator Study of Unintentional Lane Departure. Advances in Mechanical Engineering, 2017, 9(10): 1–8.  

9.Z. Gao, C. Li, H. Hu (*), et al. Influencing factors of low- and high-temperature behavior of Co-doped Zn 2 SnO 4 –graphene–carbon nanocomposite as anode material for lithium-ion batteries. Journal of Electroanalytical Chemistry, 2017, 791, 56-63.

10.Z. Gao, J. Wang, H. Hu (*), Yiteng Sun. Control mode switching strategy for ACC based on intuitionistic fuzzy set multi-attribute decision making method [J]. Journal of Intelligent and Fuzzy Systems, 2016, 31(6): 2967-2974.  

11.Z. Gao, C. Li, H. Hu (*), et al. Study of the influence of muscle activation on a driver's lower extremity injury[J]. International Journal of Crashworthiness, 2016, 21(3): 191-197.  

12.Z. Gao, C. Li, H. Hu (*), et al. Simulator study of young driver's instinctive response of lower extremity to a collision[J]. Traffic Injury Prevention, 2016, 17(4): 423-429.

13.H. Hu (*), Z. Gao, Y. Sun. Pedestrian count estimation using texture feature with spatial distribution [J]. Advances in Mechanical Engineering, 2017, 9(1): 1–8.  

14.Z. Gao, J. Wang, H. Hu. (*), and Wang, D. Vehicle Longitudinal Control Algorithm Based on Iterative Learning Control. SAE Int. J. Passeng. Cars - Mech. Syst. 2016, 9(1): 366-372.

15.H. Hu, Z. Qu, Z. Li. Multi-level trajectory learning for traffic behavior detection and analysis[J]. Journal of the Chinese Institute of Engineers, 2014, 37(8): 995-1006.

联系方式:

邮箱:huhongyu@jlu.edu.cn

电话:0431-85095090-6125

地址:吉林省长春市人民大街5988号澳门云顶国际最新官网南岭校区汽车仿真与控制国家重点实验室

邮编:130022

 

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