近几年论文： 

[1] Loosely Coupled Stereo VINS Based on Point-Line Features Tracking With Feedback Loops. L Zhang, W Ye, J Yan, H Zhang, J Betz, H Yin. IEEE Transactions on Vehicular Technology, 2024. 

[2] Enhance Adversarial Robustness via Geodesic Distance. J Yan, H Yin, Z Zhao, W Ge, J Zhang. IEEE Transactions on Artificial Intelligence, 2024. 

[3] Robust object detection for autonomous driving based on semi-supervised learning. W Chen, J Yan, W Huang, W Ge, H Liu, H Yin. Security and Safety, 2024. 

[4] Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning. Huilin Yin, Shengkai Su, Yinjia Lin, Pengju Zhen,Karin Festl, Daniel Watzenig. 35th IEEE Intelligent Vehicles Symposium (IEEE IV 2024). 2024. 

[5]SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction. Huilin Yin，Jiaxiang Li，Pengju Zhen，Jun Yan. 35th IEEE Intelligent Vehicles Symposium (IEEE IV 2024). 2024. 

[6] CSANet: Cuboid-Wise Shape Augmentation 3D Object Detector for Occluded Targets. J. Lin, W. Ge, G. Rigoll, and H. Yin. IEEE Signal Processing Letters, 2024. 

[7] DP-VINS: Dynamics Adaptive Plane-Based Visual-Inertial SLAM for Autonomous Vehicles. Linchuan Zhang, Wei Ye, Johannes Betz, and Huilin Yin. IEEE Transactions on Instrumentation and Measurement. 2024. 

[8] Exploring aesthetic procedural noise for crafting model-agnostic universal adversarial perturbations. J Yan, H Yin, W Ge, L Liu, Displays 79, 2023. 

[9] Attack Detection for Intelligent Vehicles via CAN-Bus: A Lightweight Image Network Approach. S Gao, L Zhang, L He, X Deng, H Yin, H Zhang, IEEE Transactions on Vehicular Technology, 2023. 

[10] FSFNet: Foreground score-aware fusion for 3D object detector under unfavorable conditions. J Lin, H Yin, J Yan, K Jian, Y Lu, W Ge, H Zhang, G Rigoll, IEEE Sensors Journal 23 (14), 15988-16001, 2023. 

[11] DSENet: a deep sub-ensembles convolutional neural network for robust semantic segmentation. H Yin, X Xu, Q Meng, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL), 2023. 

[12] An Adversarial Attack on Salient Regions of Traffic Sign. J Yan, H Yin, B Ye, W Ge, H Zhang, G Rigoll, Automotive Innovation, 1-14, 2023. 

[13] A Survey of Vehicle Trajectory Prediction Based on Deep-Learning. H Yin, Y Wen, J Li, International Conference on Neural Networks, Information and Communication Engineering (NNICE), 2023. 

[14] Ground-optimized SLAM with Hierarchical Loop Closure Detection in Large-scale Environment. H Yin, M Sun, L Zhang, J Yan, J Betz, IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023. 

[15] Multi-Object Tracking with Object Candidate Fusion for Camera and LiDAR data. H Yin, Y Lu, J Lin, M Schratter, D Watzenig, IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023. 

[16] AGV Path Planning Using Curiosity-driven Deep Reinforcement Learning. H Yin, Y Lin, J Yan, Q Meng, K Festl, L Schichler, D Watzenig, IEEE CASE, 2023. 

[17] Wavelet regularization benefits adversarial training. J Yan, H Yin, Z Zhao, W Ge, H Zhang, G Rigoll, Information Sciences, 1-20, 2023. 

[18] Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic. W Zhou, D Chen, J Yan, Z Li, H Yin, W Ge, Autonomous Intelligent Systems 2 (1), 2022. 

[19] Improved 3d object detector under snowfall weather condition based on lidar point cloud. J Lin, H Yin, J Yan, W Ge, H Zhang, G Rigoll, IEEE Sensors Journal 22 (16), 16276-16292, 2022. 

[20] On adversarial robustness of semantic segmentation models for automated driving. H Yin, R Wang, B Liu, J Yan, IEEE Intelligent Vehicles Symposium (IV), 867-873, 2022. 

[21] Curriculum Defense: An Effective Adversarial Training Method. H Yin, X Deng, J Yan, Chinese Control Conference (CCC), 7399-7406, 2022. 

[22] Review on Uncertainty Estimation in Deep-Learning-Based Environment Perception of Intelligent Vehicles. H Yin, Z Chen, J Yan, G Rigoll, SAE Technical Paper, 2022.