A survey on scenario-based testing for automated driving systems in high-fidelity simulation Z Zhong, Y Tang, Y Zhou, VO Neves, Y Liu, B Ray arXiv preprint arXiv:2112.00964, 2021 | 54 | 2021 |
Route coverage testing for autonomous vehicles via map modeling Y Tang, Y Zhou, F Wu, Y Liu, J Sun, W Huang, G Wang 2021 IEEE International Conference on Robotics and Automation (ICRA), 11450 …, 2021 | 27 | 2021 |
CANeleon: Protecting CAN Bus With Frame ID Chameleon K Cheng, Y Bai, Y Zhou, Y Tang, D Sanan, Y Liu IEEE Transactions on Vehicular technology 69 (7), 7116-7130, 2020 | 26 | 2020 |
Collision avoidance testing for autonomous driving systems on complete maps Y Tang, Y Zhou, Y Liu, J Sun, G Wang 2021 IEEE Intelligent Vehicles Symposium (IV), 179-185, 2021 | 23 | 2021 |
Specification-based autonomous driving system testing Y Zhou, Y Sun, Y Tang, Y Chen, J Sun, CM Poskitt, Y Liu, Z Yang IEEE Transactions on Software Engineering 49 (6), 3391-3410, 2023 | 20 | 2023 |
Systematic testing of autonomous driving systems using map topology-based scenario classification Y Tang, Y Zhou, T Zhang, F Wu, Y Liu, G Wang 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 18 | 2021 |
Deep learning method for sleep stage classification L Cen, ZL Yu, Y Tang, W Shi, T Kluge, W Ser Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 13 | 2017 |
Domain knowledge distillation from large language model: An empirical study in the autonomous driving domain Y Tang, AAB Da Costa, X Zhang, I Patrick, S Khastgir, P Jennings 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 8 | 2023 |
FLYOVER: A model-driven method to generate diverse highway interchanges for autonomous vehicle testing Y Zhou, G Lin, Y Tang, K Yang, W Jing, P Zhang, J Chen, L Gong, Y Liu 2023 IEEE International Conference on Robotics and Automation (ICRA), 11389 …, 2023 | 5 | 2023 |
Automatic map generation for autonomous driving system testing Y Tang, Y Zhou, K Yang, Z Zhong, B Ray, Y Liu, P Zhang, J Chen arXiv preprint arXiv:2206.09357, 2022 | 4 | 2022 |
VistaRAG: Toward Safe and Trustworthy Autonomous Driving Through Retrieval-Augmented Generation X Dai, C Guo, Y Tang, H Li, Y Wang, J Huang, Y Tian, X Xia, Y Lv, ... IEEE Transactions on Intelligent Vehicles, 2024 | 3 | 2024 |
A novel scenario-based testing approach for cooperative-automated driving systems X Zhang, YK Mo, E Chodowiec, Y Tang, M Higgins, S Khastgir, ... 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023 | 3 | 2023 |
A map-based model-driven testing framework for automated driving systems Y Tang Nanyang Technological University, 2022 | 1 | 2022 |
Automatic Retrieval-augmented Generation of 6G Network Specifications for Use Cases Y Tang, W Guo arXiv preprint arXiv:2405.03122, 2024 | | 2024 |
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation Y Zhang, Y Tang, W Ruan, X Huang, S Khastgir, P Jennings, X Zhao arXiv preprint arXiv:2402.15429, 2024 | | 2024 |
Extending scenario description languages for intelligence testing of autonomous vehicles Y Tang, AA Bruto da Costa, P Irvine, Y Zhang, X Zhao, S Khastgir, ... 2024 IEEE Intelligent Vehicles Symposium (IV), 2024 | | 2024 |
ODD-based query-time scenario mutation framework for autonomous driving scenario databases Y Tang, D Raj, X Zhao, X Zhang, AA Bruto da Costa, S Khastgir, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024 | | 2024 |