教育与工作经历

2013.09-2017.06 清华大学 车辆与运载学院 学士

2017.09-2022.10 清华大学 车辆与运载学院 博士

2022.11-2025.06 北京理工大学 自动化学院 特立博士后（助理研究员）

2025.06-至今，    北京理工大学 自动化学院 预聘副教授（特别研究员）

 

研究方向

1.无人驾驶与智能决策

2.人机协同与脑机接口

 

欢迎对我们研究工作感兴趣的本科生、硕士生及博士生与我邮件联系。

近5年承担的科研项目

1. 国家自然科学基金青年科学基金，极端工况下自动驾驶汽车的潜在风险评估及非保守交互决策，2024.01-2026.12，主持

2. 中国博士后科学基金面上项目，潜在危险场景下自动驾驶车辆的交互性风险预测及非保守自适应决策，2023.07-2024.12，主持

代表性学术论文

1. Hou X, Gan M, Wu W, et al. Predatory-imminence-continuum-inspired graph reinforcement learning for interactive motion planning in dense traffic[J]. Expert Systems with Applications, 2025, 277: 127205.

2. Hou X, Gan M, Wu W, et al. Equipping With Cognition: Interactive Motion Planning Using Metacognitive-Attribution Inspired Reinforcement Learning for Autonomous Vehicles[J]. IEEE Transactions on Intelligent Transportation Systems, 2024.

3. Hou X, Gan M, Wu W, et al. Risk-Conscious Mutations in Jump-Start Reinforcement Learning for Autonomous Racing Policy[J]. IEEE Transactions on Cybernetics, 2024.

4. Hou X, Gan M, Wu W, et al. Cross-Observability Optimistic-Pessimistic Safe Reinforcement Learning for Interactive Motion Planning With Visual Occlusion[J]. IEEE Transactions on Intelligent Transportation Systems, 2024.

5. Hou X, Gan M, Wu W, et al. Risk assessment and interactive motion planning with visual occlusion using graph attention networks and reinforcement learning[J]. Advanced Engineering Informatics, 2024, 62: 102941.

6. Hou X, Gan M, Wu W, et al. Merging planning in dense traffic scenarios using interactive safe reinforcement learning[J]. Knowledge-Based Systems, 2024, 290: 111548.

7. Hou X, Gan M, Zhang J, et al. Secondary crash mitigation controller after rear-end collisions using reinforcement learning[J]. Advanced engineering informatics, 2023, 58: 102176.

8. Hou X, Gan M, Zhang J, et al. Vehicle ride comfort optimization in the post-braking phase using residual reinforcement learning[J]. Advanced Engineering Informatics, 2023, 58: 102198.

9. Hou X, Zhang J, He C, et al. Crash mitigation controller for unavoidable T-bone collisions using reinforcement learning[J]. ISA transactions, 2022, 130: 629-654.

10. Hou X, Zhang J, He C, et al. Autonomous driving at the handling limit using residual reinforcement learning[J]. Advanced Engineering Informatics, 2022, 54: 101754.

11. Hou X, Zhang J, Ji Y, et al. Autonomous drift controller for distributed drive electric vehicle with input coupling and uncertain disturbance[J]. ISA transactions, 2022, 120: 1-17.

12. Zhang B, Hou X*, Wu W, et al. Equipping with Human Cognition: Driver Intention Recognition with Multimodal Information Fusion[J]. Unmanned Systems, 2024.

13. Hou X, Ji Y, Liu W, et al. Research on logistics distribution routing problem of unmanned vehicles based on genetic simulated annealing algorithm[C]//2021 2nd International Conference on Artificial Intelligence and Information Systems. 2021: 1-7.

14. Hou X, Zhang J, Liu W, et al. LuGre model-based longitudinal ride comfort control of vehicle during the post-braking phase[C]//2020 Chinese Automation Congress (CAC). IEEE, 2020: 7307-7313.

15. Hou X, Zhang J, Liu W, et al. Super-twisting second-order sliding mode control for automated drifting of distributed electric vehicles[R]. SAE Technical Paper, 2020.

 

*表示通讯作者

授权国家发明专利及出版专著

专利

1. 侯晓慧,张俊智,何承坤.基于强化学习的车辆制动末期纵向平顺性优化方法及系统，ZL 202211309005.3

2. 侯晓慧,张俊智,何承坤.基于强化学习的车辆自主极限驾驶规划控制方法及系统，ZL 202210007825.0

3. 侯晓慧,张俊智,何承坤.自动驾驶车辆T型紧急避撞控制方法、系统、介质及设备，ZL 202110948176.X

4. 侯晓慧,张俊智,何承坤.极限工况下的车辆自动换挡控制方法、系统、介质及设备，ZL 202111676705.1

5. 侯晓慧,张俊智,何承坤.极限工况下电动四驱车辆的自主漂移控制方法及系统，ZL 202010940050.3

专著

科研获奖

讲授课程

学术兼职