研究方向

自动驾驶、具身智能、智能系统安全性  

个人简介与工作经历

尹慧琳，中德TUV南德教席教授，博导。

工作经历：

(1) 2020-01 至今, 同济大学电子与信息工程学院控制科学与工程系

(2) 2016-01 至今, 同济大学中德学院电子与信息系TUV南德基金教席主任

(3) 2006-07 至 2019-12, 同济大学中德学院电子与信息系

教育经历：

(1) 2003-03 至 2006-07, 同济大学, 博士, 专业：控制理论与控制工程

(2) 2005-10 至 2006-04, 德国慕尼黑工业大学, 访问学者, 专业：信息学

(3) 1999-07 至 2002-09, 同济大学-慕尼黑工业大学, 双学位硕士, 专业：控制理论与控制工程

科研与教学

科研项目：

- 国家自然科学基金项目: 面向自动驾驶环境认知的态势评估功能模型及实现方法

- 科技部国家重点研发计划新能源汽车专项课题：自动驾驶电动汽车评价理论研究- AEV预期功能安全风险评估理论研究

- 科技部国家重点研发计划新能源汽车专项课题：智能电动汽车全状态参数估计、复杂环境感知与多源信息融合

- 中央高校科研专项资金重大国际合作预研项目：智能卡系统的攻击及防御关键技术研究

中德研究生课程：

- 先进控制理论

- 现代测量技术（和可靠性）

已发表论文：

[1]. Knowledge-Informed Multi-Agent Trajectory Prediction at Signalized Intersections for Infrastructure-to-Everything. H. Yin*, Y. Xu, J. Li, H. Zhang and G. Rigoll, in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2026.3673925, 2026.

[2]. SR-VIO: Leveraging Structural Regularity for Robust Initialization and Accurate Visual-Inertial Odometry. L. Zhang, H. Yin*, W. Ye, H. Zhang and J. Betz, in IEEE/ASME Transactions on Mechatronics, doi: 10.1109/TMECH.2026.3669015, 2026.

[3]. Bridging Infrastructures and Vehicles: A Cooperative Framework for Fusing Heterogeneous Future Trajectory Prediction. H. Yin*, Y. Xu, H. Zhang and G. Rigoll, in IEEE Internet of Things Journal, vol. 13, no. 11, pp. 24106-24121, 1 June1, 2026, doi: 10.1109/JIOT.2026.3671814.

[4]. RoGER-SLAM: A Robust Gaussian Splatting SLAM System for Noisy and Low-Light Environment Resilience. H. Yin*, Z. Yang, L. Zhang, G. Rigoll and J. Betz, in IEEE Transactions on Instrumentation and Measurement, vol. 75, pp. 1-14, 2026, Art no. 2502014, doi: 10.1109/TIM.2026.3657530.

[5]. HSR-VINS: Hybrid Structural Regularities for Robust Visual–Inertial Navigation System. H. Yin*, P. Zhen, L. Zhang and J. Betz, in IEEE Transactions on Aerospace and Electronic Systems, vol. 62, pp. 556-570, doi: 10.1109/TAES.2025.3623951, 2026.

[6]. ILVMamba: Illumination-Aware Lightweight Visual Mamba Framework for Efficient High-Resolution Image Enhancement. M. Liu, J. Xu, Y. Cui, X. Hu, L. Strand, H. Yin*, A. Knoll, in IEEE Transactions on Artificial Intelligence, vol. 7, no. 3, pp. 1341-1354, March 2026, doi: 10.1109/TAI.2025.3595115.

[7]. Gas Component Strategy and Signal Graph Framework for Scalable and Generalizable Gas Identification and Estimation. D. Wang, H. Ouyang, J. Wang, F. Liu, X. Huang, H. Wang, Y. Gao, L. Wang, H. Yin, W. Zhang, in IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-13, 2025, Art no. 9547113, doi: 10.1109/TIM.2025.3645893.

[8]. Graph-Driven Models for Gas Mixture Identification and Concentration Estimation on Heterogeneous Sensor Array Signals. D. Wang, L. Wang, H. Yin, G. Gu, Z. Lin and W. Zhang, in IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-13, 2025, Art no. 2541613, doi: 10.1109/TIM.2025.3588932.

[9]. Novel Metrics and Wavelet Attention GRU for Gas Mixture Recognition With Reduced Sensors. D. Wang, F. Liu, Y. Gao, H. Yin and L. Wang, in IEEE Transactions on Industrial Informatics, vol. 21, no. 10, pp. 7838-7847, Oct. 2025, doi: 10.1109/TII.2025.3582294.

[10]. DP-VINS: Dynamics Adaptive Plane-Based Visual-Inertial SLAM for Autonomous Vehicles. L. Zhang, H. Yin*, W. Ye and J. Betz, in IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-16, 2024, Art no. 5036516, doi: 10.1109/TIM.2024.3476615.

[11]. Loosely Coupled Stereo VINS Based on Point-Line Features Tracking With Feedback Loops. L. Zhang, W. Ye, J. Yan, H. Zhang, J. Betz and H. Yin*, in IEEE Transactions on Vehicular Technology, vol. 73, no. 8, pp. 10916-10931, Aug. 2024, doi: 10.1109/TVT.2024.3370732.

[12]. Enhance Adversarial Robustness via Geodesic Distance. J. Yan, H. Yin*, Z. Zhao, W. Ge and J. Zhang, in IEEE Transactions on Artificial Intelligence, vol. 5, no. 8, pp. 4202-4216, Aug. 2024, doi: 10.1109/TAI.2024.3364121.

[13]. CSANet: Cuboid-Wise Shape Augmentation 3D Object Detector for Occluded Targets. J. Lin, W. Ge, G. Rigoll and H. Yin*, in IEEE Signal Processing Letters, vol. 31, pp. 1750-1754, 2024, doi: 10.1109/LSP.2024.3417345.

[14]. Attack Detection for Intelligent Vehicles via CAN- Bus: A Lightweight Image Network Approach. S. Gao, L. Zhang, L. He, X. Deng, H. Yin and H. Zhang, in IEEE Transactions on Vehicular Technology, vol. 72, no. 12, pp. 16624-16636, Dec. 2023, doi: 10.1109/TVT.2023.3296705.

[15]. WS-DETR: Robust Water Surface Object Detection through Vision-Radar Fusion with Detection Transformer. H. Yin*, P. Wang, S. Li, J. Yan and D. Watzenig, 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Vienna, Austria, 2025, pp. 4402-4409, doi: 10.1109/SMC58881.2025.11342725.

[16]. Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving. J. Yan, P. Wang, D. Wang, W. Huang, D. Watzenig and H. Yin*, 2024 IEEE International Automated Vehicle Validation Conference (IAVVC), Pittsburgh, PA, USA, 2024, pp. 1-8, doi: 10.1109/IAVVC63304.2024.10786458.

[17]. MAP: End-to-End Autonomous Driving with Map-Assisted Planning. H. Yin*, Y. Kan and D. Watzenig, 2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Honolulu, HI, USA, 2025, pp. 1823-1830, doi: 10.1109/ICCVW69036.2025.00192.

[18]. SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction. H. Yin*, J. Li, P. Zhen and J. Yan, 2024 IEEE Intelligent Vehicles Symposium (IV), Jeju Island, Korea, Republic of, 2024, pp. 1772-1778, doi: 10.1109/IV55156.2024.10588723.

[19]. PID3D: 3D Object Detection with Object Proposal Instance Discrimination. K. Jian and H. Yin*, 2024 6th International Conference on Electronic Engineering and Informatics (EEI), Chongqing, China, 2024, pp. 356-361, doi: 10.1109/EEI63073.2024.10696087.

[20]. Ground-optimized SLAM with Hierarchical Loop Closure Detection in Large-scale Environment. H. Yin*, M. Sun, L. Zhang, J. Yan and J. Betz, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, 2023, pp. 3192-3199, doi: 10.1109/ITSC57777.2023.10422438.

[21]. Multi-Object Tracking with Object Candidate Fusion for Camera and LiDAR Data. H. Yin*, Y. Lu, J. Lin, M. Schratter and D. Watzenig, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, 2023, pp. 2965-2970, doi: 10.1109/ITSC57777.2023.10422106.

[22]. FSFNet: Foreground Score-Aware Fusion for 3-D Object Detector Under Unfavorable Conditions. J. Lin, H. Yin*, J. Yan, K. Jian, Y. Lu, W. Ge, H. Zhang, G. Rigoll, in IEEE Sensors Journal, vol. 23, no. 14, pp. 15988-16001, 15 July15, 2023, doi: 10.1109/JSEN.2023.3283018.

欢迎同学报考中德硕士/博士研究生！