曲婷,教授,博士生导师,控制理论与控制工程专业博士,主要研究方向为智能驾驶,辅助驾驶、人机共驾、驾驶行为建模、多源传感信息融合等关键技术开发。
作为项目负责人,承担国家自然科学基金青年基金1项、国家科技创新2030-“新一代人工智能”重大项目子课题1项、国家科技部重点研发计划子课题1项,吉林省科技厅优秀青年人才基金项目1项、吉林省科技厅重点研发计划项目1项、吉林省教育厅项目1项,东风技术中心ADAS子课题1项。在本领域发表学术论文30余篇,其中以第一作者或通信作者发表高水平SCI论文10余篇,授权发明专利11项,1项美国专利。
主要科研项目:
1.尊重驾驶员意图的共驾型智能车辆主动避障控制方法研究,国家自然科学基金青年基金, 2018.01-2020.12,61703178,23万元,项目负责人
2.混行交通场景下自动驾驶汽车智能度测试与评价关键技术,吉林省科技厅重点研发计划,2023.01-2025.12,20230201109GX,50万元,项目负责人
3.基于驾驶人驾驶技能的个性化人机共驾理论,国家重点研发计划子项目,2016.07-2020.12,2016YFB0100904,45万元,子课题负责人
4.基于驾驶意图预测的智能车辆主动避障方法研究,吉林省科技厅优秀青年人才基金,2018.01-2019.112,20180520200JH,9万元,项目负责人
5.东风乘用车自主智能辅助驾驶系统的研发与应用(第二阶段),2019.01-2020.12,90万元,子课题负责人
6.可信可解释的人机共驾混合智能决策与在线评估,科技创新2030-“新一代人工智能”重大项目子课题,2020.11-2024.11,2020AAA0108101,94万元,子课题负责人
以第一作者或通信作者发表学术期刊论文:
[1] Ting Qu, Hong Chen, Dongpu Cao, Hongyan Guo, Bingzhao Gao. Switching-based stochastic model predictive control approach for modeling driver steering skill [J]. IEEE Transactions on Intelligent Transportation Systems, 16(1): 365-375, 2015.
[2] Ting Qu, Hong Chen, Yan Ji, Hongyan Guo, Yueting Xu. A stochastic model predictive control approach for modeling driver steering control [J]. International Journal of Vehicle Design, 70(3): 249-277, 2016.
[3] Yuxiang Zhang, Lulu Guo, Bingzhao Gao, Ting Qu*, Hong Chen. Deterministic Promotion Reinforcement Learning Applied to Longitudinal Velocity Control for Automated Vehicles [J]. IEEE Transactions on Vehicular Technology, 29(1): 338-348, 2020.
[4] Bingzhao Gao, Kunyang Cai, Ting Qu*, Yunfeng Hu, Hong Chen. Personalized Adaptive Cruise Control Based on Online Driving Style Recognition Technology and Model Predictive Control [J]. IEEE Transactions on Vehicular Technology, 69(11): 12482-12496, 2020.
[5] Shuyou Yu, Ting Qu, Fang Xu, Hong Chen, Yunfeng Hu. Stability of finite horizon model predictive control with incremental input constraints [J]. Automatica, 79: 265-272, 2017.
[6] Ting Qu, Junwu Zhao, Huihua Gao, Kunyang Cai, Hong Chen, Fang Xu*, Multi-mode switching-based model predictive control approach for longitudinal autonomous driving with acceleration estimation, IET Intelligent Transport Systems, 2020, 14(14), 2102-2112.
[7] Zhuqing Shi, Hong Chen, Ting Qu*, Shuyou Yu, Human–Machine Cooperative Steering Control Considering Mitigating Human–Machine Conflict Based on Driver Trust, IEEE Transactions on Human-Machine Systems, October 2022,52(5), 1036-1048.
[8] Kunyang Cai, Ting Qu*, Hong Chen, Bingzhao Gao, Ning Bian, Low-Cost Hybrid Multi-Sensor Fusion Method and Implementation for Production Intelligent Vehicles, IEEE Transactions on Instrumentation and Measurement, September, 2022, 71, 3520516.
[9] Junwu Zhao, Ting Qu*, Xun Gong, Hong Chen, Interaction-Aware Personalized Trajectory Prediction for Traffic Participant Based on Interactive Multiple Model, IEEE Transactions on Intelligent Vehicles, 2022.
[10] Fang Xu, Zhongyi Guo, Hong Chen, Dongdong Ji, Ting Qu, A Custom Parallel Hardware Architecture of Nonlinear Model Predictive Control on FPGA, IEEE Transactions on Industrial Electronics, 2021,69, 11569-11579.
授权发明专利:
[1] Kunyang Cai, Ting Qu, Bingzhao Gao, Wenqi Qu, Sihan Liu, Multi-Target Dynamic Simulation Test System for Vehicle-Mounted Millimeter-Wave Radar,美国,申请号:16/876,968,公开号:US-2020-0371207-A1,公开日:2020.11.26,申请日:2020.05.18,专利号:US 11,585,893.
[2] 曲婷,王秋,麻颖俊,陈虹,一种考虑多目标的车辆自适应巡航控制方法,中国,授权,专利号:ZL201610351859.6.
[3] 曲婷,褚建新,王一男,许芳,于树友,一种车辆避障轨迹规划与跟踪控制方法, 中国,授权,专利号:ZL201910680463.X.
[4] 曲婷,褚建新,陈虹, 一种基于高斯伪谱法的车辆避障轨迹规划方法,中国,授权,专利号:ZL202010404626.4.
[5] 曲婷, 王一男, 曲文奇, 于树友,基于高斯混合隐马尔科夫模型的驾驶员换道意图识别方法,中国,授权,专利号:ZL201911107281.X.
[6] 蔡坤阳,曲婷,曲文奇,高炳钊,陈虹,一种用于汽车自适应巡航系统的驾驶风格识别和分类方法, 中国,授权,专利号:ZL202010454845.3.
[7] 蔡坤阳,曲婷,赖峰, 曲文奇,高炳钊,陈虹,一种智能汽车的目标级多传感器融合方法,中国,授权,专利号:ZL202010960587.6.
[8] 宋佳,曲婷,于树友,蔡坤阳,一种多传感器多目标关联跟踪方法,中国,授权,专利号:ZL202110386725.9.
[9] 曲文奇,曲婷,陈虹,赖峰,一种基于Mobileye提供车道线方程的后向车道线推算方法,中国,授权,专利号:ZL202010900834.3.
[10] 李超群,高炳钊,冷智鑫,曲婷,一种全地形车车架,中国,授权,专利号:ZL202022952557.9.
[11] 曲婷,刘普俊,杜少毅,基于GMM-HMM的高速公路他车超车换道意图识别方法,中国,授权,专利号:ZL202210866316.3.
[12] 曲婷,高慧华,宫洵,胡云峰,考虑感知受限特性的个性化驾驶员跟车建模方法,中国,授权,专利号:ZL202210101344.6.
联系方式:
电话:13596061663 邮箱:quting@jlu.edu.cn
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