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 | 95 | 2022 |
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 | 95 | 2020 |
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 | 47 | 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 | 34 | 2016 |
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 | 17 | 2022 |
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 | 15 | 2019 |
Patch-based attack on traffic sign recognition B Ye, H Yin, J Yan, W Ge 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 14 | 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 | 9 | 2021 |
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 | 7 | 2022 |
Wavelet regularization benefits adversarial training J Yan, H Yin, Z Zhao, W Ge, H Zhang, G Rigoll Information Sciences 649, 119650, 2023 | 6 | 2023 |
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 | 6 | 2023 |
Enhance Adversarial Robustness via Geodesic Distance J Yan, H Yin, Z Zhao, W Ge, J Zhang IEEE Transactions on Artificial Intelligence, 2024 | 5 | 2024 |
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 | 5 | 2023 |
Wanchen Ge W Zhou, D Chen, J Yan, Z Li, H Yin Multi-agent reinforcement learning for cooperative lane changing of …, 2022 | 5 | 2022 |
Generalized accelerated failure time frailty model for systems subject to imperfect preventive maintenance H Yin, X Yang, R Peng Mathematical Problems in Engineering 2015 (1), 908742, 2015 | 5 | 2015 |
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 3, 2024002, 2024 | 4 | 2024 |
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 | 4 | 2022 |
Multi-Object Tracking with Object Candidate Fusion for Camera and LiDAR Data H Yin, Y Lu, J Lin, M Schratter, D Watzenig 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 3 | 2023 |
On procedural adversarial noise attack and defense J Yan, X Deng, H Yin, W Ge arXiv preprint arXiv:2108.04409, 2021 | 3 | 2021 |
Segment-anything models achieve zero-shot robustness in autonomous driving J Yan, P Wang, D Wang, W Huang, D Watzenig, H Yin 2024 IEEE International Automated Vehicle Validation Conference (IAVVC), 1-8, 2024 | 2 | 2024 |