姓名：李洋

职称：助理教授

邮箱：lyxc56@gmail.com

教育背景

2010.09~2014.07 重庆大学 机械与运载工程学院 本科

2014.09~2020.01 清华大学 车辆与运载学院 博士研究生

2017.10~2018.11 加州大学伯克利分校 联合培养 California PATH

工作经历

2020.08~2022.08 荷兰代尔夫特理工 博士后 Software Technology

2022.09~今 湖南大学 机械与运载工程学院 助理教授

研究领域

深度强化学习、自动驾驶决策和运动规划、驾驶行为分析、弱势道路使用者意图识别与行为预测、行车风险评估

科研项目

1.2014.07~2015.12，先进驾驶辅助系统（ADAS）在中国交通环境中的适应性研究，核心骨干；

2.2015.01~2022.08，基于人-车-路协同的行车安全场理论及车辆拟人化控制，核心骨干；

3.2015.11~2017.11，针对中国弱势道路使用者（VRUs）的智能汽车安全算法研究，核心骨干；

4.2016.01~2017.10，先进驾驶辅助系统（ADAS）减少中国交通事故的有效性评估，核心骨干；

5.2018.05~2018.06，行人意图（轨迹预测）方法，核心骨干；

6.2020.01~2020.07，自动驾驶换道决策规划，核心骨干；

7.2020.08~2022.08，基于强化学习的高级自动驾驶人机切换决策方法，核心骨干。

学术成果

发表论文

1.Li, Y., Zheng,Y.,Wang,J., Kodaka, K., & Li, K. (2018). Crash probability estimation via quantifying driver hazard perception. Accident Analysis & Prevention, 116, 116-125. (SCI,影响因子3.6,大分区1区,小分区1区)

2.Li, Y., Li, K., Zheng,Y.,Morys, B., Pan, S., &Wang,J. (2020). Threat assessment techniques in intelligent vehicles: A comparative survey. IEEE Intelligent Transportation Systems Magazine, 13(4), 71-91. (SCI,影响因子3.4,大分区3区,小分区4区)

3.Li,Y.,Wang,J. Q., &Wu,J. (2017). Model calibration concerning risk coefficients of driving safety field model. Journal of Central South University, 24(6), 1494-1502. (SCI,影响因子1.7,大分区3区,小分区3区)

4.Li, Y., Lu, X.Y.,Wang,J., & Li, K. (2020). Pedestrian trajectory prediction combining probabilistic reasoning and sequence learning. IEEE Transactions on IntelligentVehicles,5(3), 461-474.(SCI,影响因子5.009,大分区1区)

5.Li, Y.,Wang,J. Q., Lu, X.Y.,Shi,T. Y.,Xu, Q., & Li, K. Q. (2019, October). Pedestrian trajectory prediction at un- signalized intersection using probabilistic reasoning and sequence learning. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 1047-1053. (EI)

6.Li, Y., Xin, L.,Yu,D., Dai,P.,Wang,J., & Li, S. E. (2019, June). Pedestrian trajectory prediction with learning-based approaches: A comparativestudy.In 2019 IEEE IntelligentVehiclesSymposium (IV), pp. 919-926. (EI)

7.Li, Y., Zheng,Y.,Wang,J.,Wang,L., Kodaka, K., & Li, K. (2016, November). Evaluation of Forward Collision Avoidance system using driver's hazard perception. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp. 2273-2278. (EI)

8.Li, Y., Gao, L.,Wang,H., & Cao, J. (2017, August). Braking assistance algorithm considering driver characteristics at signalized intersection. In 2017 4th International Conference on Transportation Information and Safety (ICTIS) (pp. 612-619). (EI)

9.李洋.基于行人行为预测的智能汽车决策方法[D],清华大学，北京，2020. (博士论文)

10.Dai,P.,Li, Y., Zhang, H., Li, J., & Cao, X. (2021). Accurate scene text detection via scale-aware data augmentation and shape similarity constraint. IEEE Transactions on Multimedia. (SCI)

11.Wang,J., Huang, H.,Li,Y.,Zhou, H., Liu, J., & Xu, Q. (2020). Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis. Accident Analysis & Prevention. (SCI)

12.Wang,J.,Wu,J., &Li,Y.(2015). The driving safety field based on driver–vehicle–road interactions. IEEE Transactions on Intelligent Transportation Systems, 16(4), 2203-2214. (SCI)

13.Yuan,S.;Li,Y.;Hu, M.;Yang,Q.; Chen, X.; Xu, B. (2022). Safe Reinforcement Learning Shielded by MPC for Automated On-ramp Merge, IEEE Transactions on Intelligent Vehicles. (SCI,under review)

14.Hou,Y.;Liang, X.;Lv,M.;Yang,Q.;Li,Y.;Wang,C. (2022). Subtask-Masked Curriculum Learning for Reinforcement Learning with Application toUAVPenetration Maneuver,IEEETransactions on Systems, Man and Cybernetics: Systems. (SCI,under review)

15.Wang,J.,Wu,J.,Li,Y.,& Li, K. (2014, October). The concept and modeling of driving safety field based on driver- vehicle-road interactions. In 17th International IEEE Conference on Intelligent Transportation Systems (ITSC) (pp. 974-981). (EI)

16.Huang, H.,Li, Y., Zheng, X.,Wang,J., Xu, Q., & Zheng, S. (2019, October). Objective and subjective analysis to quantify influence factors of driving risk. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 4310-4316). (EI)

17.王建强,吴剑,李洋.基于人-车-路协同的行车风险场概念、原理及建模. (EI)

发明专利

1.王建强,吴剑,李洋,李克强.基于行车风险场的汽车驾驶安全辅助方法.中国发明专利（201410510188）