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.Dong H, Li Y, Wang L, Wang X, Qin H, Wan H, Bian Y, Li Y. Transmission-efficient fault-tolerant control for intelligent and connected vehicles with input quantization and event-triggered mechanism[J]. IEEE Trans. Intell. Transp. Syst., 2025, 26(10): 14953-14967.

2.Xu H, Bian Y, Li Y, Qin H, Zhou H, Chang F, Wang S, Ye Q. Learnable operational design condition monitor for failure prediction in autonomous driving[J]. Accident Anal. Prev., 2025, 220: 108139.

3.Du B, Xie W, Li Y, Yang Q, Zhang W, Negenborn R R, Pang Y, Chen H. Safe adaptive policy transfer reinforcement learning for distributed multiagent control[J]. IEEE Trans. Neural Netw. Learn. Syst., 2025, 36(1): 1939-1946.

4.Wang X, Ouyang W, Li Y, Yin C, Chen M, Ma G, Hu Y. HRL-based proactive caching scheme for vehicle–edge–cloud collaborative system applications[J]. IEEE Internet Things J., 2025, 12(7): 8231-8246.

5.Pu Y, Li Y, Xia B, Wang X, Qin H, Zhu L. A lightweight lane-guided vector transformer for multi-agent trajectory prediction in autonomous driving[C]//2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), Xi'an, China, 2024: 1245-1252.

6.Teng J, Li Y, Yang Z, Yang Z, Shao X, Qin H. User preference-aware and efficient trajectory planning for autonomous parking with hybrid A* and nonlinear optimization[C]//2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), Xi'an, China, 2024: 1090-1097.

7.Dong H, Li Y, Wang X, Yang Z, Qin H, Zhu L. Adaptive spacing policy for smooth cooperative cut-in control in mixed traffic flow[C]//2024 IEEE 22nd International Conference on Industrial Informatics (INDIN), Lemgo, Germany, 2024: 1-6.

8.Zhou J, Li Y, Qin H, Dai P, Zhao Z, Hu M. Sonar image generation by MFA-CycleGAN for boosting underwater object detection of AUVs[J]. IEEE J. Ocean. Eng., 2024, 49(3): 905-919.

9.Zhou J, Dai P, Li Y, Hu M, Cao X. Explicitly-decoupled text transfer with minimized background reconstruction for scene text editing[J]. IEEE Trans. Image Process., 2024, 33: 5921-5935.

10.Wang X, Jiang P, Li Y, Hu M, Gao M, Cao D, Ding R. Progressive critical region transfer for cross-domain visual object detection[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(8): 9427-9441.

11.Chen X, Xu B, Hu M, Bian Y, Li Y, Xu X. Safe efficient policy optimization algorithm for unsignalized intersection navigation[J]. IEEE/CAA J. Autom. Sin., 2024, 11(9): 2011-2026.

12.Ouyang W, Jiao Y, Liu Y, Li Y, Hu M, Qin H. Hierarchical clustering-based state grouping reinforcement learning for switching decision of autonomous vehicles[C]//2023 IEEE International Conference on Unmanned Systems (ICUS), Guangzhou, China, 2023: 1375-1380.

13.Xu B, Liu L F, Yang Z Y, Li Y, Hu M J, Gao M. A trajectory planning method based on triggered planning framework for autonomous driving on unstructured roads in mining areas [C]//Proceedings of the Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023). Wuhan, 2023: 1298322.

14.Hou Y, Liang X, Lv M, Yang Q, Li Y. Subtask-masked curriculum learning for reinforcement learning with application to UAV maneuver decision-making[J]. Eng. Appl. Artif. Intell., 2023, 125: 106703.

15.Ma G, Wang X, Hu M, Ouyang W, Chen X, Li Y. DRL-based computation offloading with queue stability for vehicular-cloud-assisted mobile edge computing systems[J]. IEEE Trans. Intell. Veh., 2023, 8(4): 2797-2809.

16.Wang X, Li H, Hu M, Dou Q, Ouyang W, Ma G, Li Y, Qin H. HD map construction and update system for autonomous driving in open-pit mines[J]. IEEE Syst. J., 2023, 17(4): 6202-6213.

17.Dai P, Li Y, Zhang H, Li J, Cao X. Accurate scene text detection via scale-aware data augmentation and shape similarity constraint[J]. IEEE Trans. Multimedia, 2022, 24: 1883-1895.

18.Li Y, Li K, Zheng Y, Morys B, Pan S, Wang J. Threat assessment techniques in intelligent vehicles: a comparative survey[J]. IEEE Intell. Transp. Syst. Mag., 2021, 13(4): 71-91.

19.Li Y, Lu X Y, Wang J Q, Li K Q. Pedestrian trajectory prediction combining probabilistic reasoning and sequence learning[J]. IEEE Transactions on Intelligent Vehicles, 2020, 5(3): 461-474.

20.Wang J, Huang H, Li Y, Zhou H, Liu J, Xu Q. Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis[J]. Accident Anal. Prev., 2020, 145: 105680.

21.Li Y, Wang J Q, Lu X Y, Shi T Y, Xu Q, Li K Q. Pedestrian trajectory prediction at unsignalized intersection using probabilistic reasoning and sequence learning[C]//2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019: 1047-1053.

22.Li Y, Xin L, Yu D, Dai P, Wang J, Li S E. Pedestrian trajectory prediction with learning-based approaches: a comparative study[C]//2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, 2019: 919-926.

23.Huang H, Li Y, Zheng X J, Wang J Q, Xu Q, Zheng S F. Objective and subjective analysis to quantify influence factors of driving risk[C]//2019 IEEE Intelligent Transportation Systems Conference (ITSC). Auckland: IEEE, 2019. https://ieeexplore.ieee.org/abstract/document/8917382.

24.Li Y, Zheng Y, Wang J, Kodaka K, Li K. Crash probability estimation via quantifying driver hazard perception[J]. Accident Anal. Prev., 2018, 116: 116-125.

25.Li Y, Wang J Q, Wu J. Model calibration concerning risk coefficients of driving safety field model[J]. J. Cent. South Univ., 2017, 24(6): 1494-1502.

26.Li Y, Gao L, Wang H, Cao J. Braking assistance algorithm considering driver characteristics at signalized intersection [C]//Proceedings of the 4th International Conference on Transportation Information and Safety (ICTIS 2017).2017.

27.Li Y, Zheng Y, Wang J, Wang L, Kodaka K, Li K. Evaluation of forward collision avoidance system using driver’s hazard perception[C]//2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil, 2016: 2273-2278.

28.Wang J, Wu J, Li Y. The driving safety field based on driver–vehicle–road interactions[J]. IEEE Trans. Intell. Transp. Syst., 2015, 16(4): 2203-2214.

29.Wang J, Wu J, Li Y, Li K. The concept and modeling of driving safety field based on driver-vehicle-road interactions[C]//IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), Qingdao, China, 2014: 974-981.

发明专利

1.高铭,王胤霖,杨泽宇,边有钢,秦洪懋,胡满江,李洋,曾利.一种视觉语言目标检测数据自动标注方法及系统.发明专利(202511010793)

2.高铭,曾利,秦洪懋,胡满江,杨泽宇,边有钢,李洋,王胤霖.一种自动驾驶感知传感器部署优化方法.发明专利(202510999342)

3.高铭,付尧,胡满江,杨泽宇,边有钢,秦洪懋,李洋,邓凡,丁茉军.一种非结构化环境显著性语义分割方法及系统.发明专利(202510962782)

4.胡满江,崔峥嵘,边有钢,高铭,秦洪懋,杨泽宇,李洋,丁荣军.一种ASV-AUV混合集群鲁棒模型预测协同控制方法及系统.发明专利(202510033450)

5.高铭,邓凡,王德成,秦洪懋,胡满江,杨泽宇,边有钢,李洋,付尧.基于自适应时空聚合增强的3D点云语义分割方法和系统.发明专利(202510963026)

6.李洋,阙文蔚,秦洪懋,李都帅,边有钢,胡满江.一种考虑时变有向通信拓扑的多车协同控制方法及系统.发明专利(202411624814)

7.满建佐,李洋,朱格瑶,秦洪懋,胡满江,边有钢,李都帅,唐诵远.基于成对图像数据生成与知识蒸馏的雨天目标检测方法.发明专利(202411702046)

8.李都帅,李洋,边有钢,王广才,胡满江,丁荣军,杨智元,蒲雨轩,李政天. 基于BP神经网络和粒子群优化的DVL误差校正方法、装置及系统.发明专利(202411413916)

9.满建佐,李洋,周健群,秦洪懋,胡满江,高铭,边有钢,谢国涛,王晓伟,秦晓辉,徐彪,秦兆博,丁荣军.基于CycleGAN的晴雪天气图像数据风格迁移系统及方法.发明专利(202410876040)

10.李都帅,李洋,王才,边有钢,胡满江,秦洪懋,丁荣军.水下惯性组合导航仪.外观设计(202430585209)

11.徐彪,袁诗杰,李洋,秦晓辉,胡满江,边有钢,谢国涛,秦兆博,王晓伟,秦洪懋,丁荣军.一种基于强化学习的结构化道路车辆轨迹规划方法与系统.发明专利(202310195520)

12.王晓伟,殷陈龙,马贵福,李洋,高铭,边有钢,秦晓辉,谢国涛,秦兆博,徐彪,胡满江,秦洪懋,丁荣军.一种多智能体强化学习车联网卸载方法.发明专利(202310370158)

13.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）