| A multimodality fusion deep neural network and safety test strategy for intelligent vehicles J Nie, J Yan, H Yin, L Ren, Q Meng IEEE transactions on intelligent vehicles 6 (2), 310-322, 2020 | 79 | 2020 |
| 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), 5, 2022 | 52 | 2022 |
| Trajectory prediction for intelligent vehicles using spatial‐attention mechanism J Yan, Z Peng, H Yin, J Wang, X Wang, Y Shen, W Stechele, D Cremers IET Intelligent Transport Systems 14 (13), 1855-1863, 2020 | 37 | 2020 |
| Spherical coordinates based methods of ground extraction and objects segmentation using 3-D LiDAR sensor H Yin, X Yang, C He IEEE Intelligent Transportation Systems Magazine 8 (1), 61-68, 2016 | 30 | 2016 |
| Environment influences on uncertainty of object detection for automated driving systems L Ren, H Yin, W Ge, Q Meng 2019 12th International Congress on Image and Signal Processing, BioMedical …, 2019 | 13 | 2019 |
| 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 | 12 | 2022 |
| Patch-based attack on traffic sign recognition B Ye, H Yin, J Yan, W Ge 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 6 | 2021 |
| A memory-attention hierarchical model for driving-behavior recognition and motion prediction H Yin, J Wang, J Lin, D Han, C Ying, Q Meng International journal of automotive technology 22 (4), 895-908, 2021 | 6 | 2021 |
| Generalized accelerated failure time frailty model for systems subject to imperfect preventive maintenance H Yin, X Yang, R Peng Mathematical Problems in Engineering 2015, 2015 | 5 | 2015 |
| Wavelet regularization benefits adversarial training J Yan, H Yin, Z Zhao, W Ge, H Zhang, G Rigoll Information Sciences 649, 119650, 2023 | 3 | 2023 |
| On adversarial robustness of semantic segmentation models for automated driving H Yin, R Wang, B Liu, J Yan 2022 IEEE Intelligent Vehicles Symposium (IV), 867-873, 2022 | 3 | 2022 |
| On procedural adversarial noise attack and defense J Yan, X Deng, H Yin, W Ge arXiv preprint arXiv:2108.04409, 2021 | 3 | 2021 |
| 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 | 2 | 2023 |
| Causal information bottleneck boosts adversarial robustness of deep neural network H Hua, J Yan, X Fang, W Huang, H Yin, W Ge arXiv preprint arXiv:2210.14229, 2022 | 2 | 2022 |
| High-order uncertainty of lidar for environment perception in automated driving systems L Hou, H Yin, W Ge, Q Meng 2019 12th international congress on image and signal processing, biomedical …, 2019 | 2 | 2019 |
| Exploring aesthetic procedural noise for crafting model-agnostic universal adversarial perturbations J Yan, H Yin, W Ge, L Liu Displays 79, 102479, 2023 | 1 | 2023 |
| AGV Path Planning Using Curiosity-Driven Deep Reinforcement Learning H Yin, Y Lin, J Yan, Q Meng, K Festl, L Schichler, D Watzenig 2023 IEEE 19th International Conference on Automation Science and …, 2023 | 1 | 2023 |
| 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, 2023 | 1 | 2023 |
| An Adversarial Attack on Salient Regions of Traffic Sign J Yan, H Yin, B Ye, W Ge, H Zhang, G Rigoll Automotive Innovation 6 (2), 190-203, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
