Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain

N. F. Noy, D. L. McGuinness, et al

2001

Earlier work this paper cites.

T. Menzel, G. Bagschik, and M. Maurer, “Scenarios for development, test and validation of automated vehicles,” in 2018 IEEE Intelligent Vehicles Symposium (IV)

2018

Earlier work this paper cites.

G. Bagschik, T. Menzel, and M. Maurer, “Ontology based scene creation for the development of automated vehicles,” in 2018 IEEE Intelligent Vehicles Symposium (IV)

2018

Earlier work this paper cites.

San Rafael, California: Morgan & Claypool, 2019

E. F. Kendall and D. L. McGuinness, Ontology engineering · 2019

Earlier work this paper cites.

T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, et al

2020

Earlier work this paper cites.

M. Chen, J. Tworek, H. Jun, Q. Yuan, H. P. d. O. Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman, et al

Original

2021

Earlier work this paper cites.

Z. Zhong, Y. Tang, Y. Zhou, V. d. O. Neves, Y. Liu, and B. Ray, “A survey on scenario-based testing for automated driving systems in high-fidelity simulation,” arXiv preprint arXiv:2112.00964

Original

2021

Earlier work this paper cites.

Y. Tang, Y. Zhou, F. Wu, Y. Liu, J. Sun, W. Huang, and G. Wang, “Route coverage testing for autonomous vehicles via map modeling,” in 2021 IEEE International Conference on Robotics and Automation (ICRA)

2021

Earlier work this paper cites.

Y. Tang, Y. Zhou, Y. Liu, J. Sun, and G. Wang, “Collision avoidance testing for autonomous driving systems on complete maps,” in 2021 IEEE Intelligent Vehicles Symposium (IV)

2021

Cited alongside, same era.

Y. Tang, Y. Zhou, T. Zhang, F. Wu, Y. Liu, and G. Wang, “Systematic testing of autonomous driving systems using map topology-based scenario classification,” in 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)

2021

Cited alongside, same era.

S. Khastgir, S. Brewerton, J. Thomas, and P. Jennings, “Systems approach to creating test scenarios for automated driving systems,” Reliability engineering & system safety

2021

Cited alongside, same era.

H. Pearce, B. Tan, B. Ahmad, R. Karri, and B. Dolan-Gavitt, “Examining zero-shot vulnerability repair with large language models,” in 2023 IEEE Symposium on Security and Privacy (SP)

2022

Cited alongside, same era.

S. Vemprala, R. Bonatti, A. Bucker, and A. Kapoor, “Chatgpt for robotics: Design principles and model abilities,” 2023

2023

Closest in time.

M. Schäfer, S. Nadi, A. Eghbali, and F. Tip, “Adaptive test generation using a large language model,” arXiv preprint arXiv:2302.06527

Original

2023

Closest in time.

Y. Zhou, G. Lin, Y. Tang, K. Yang, W. Jing, P. Zhang, J. Chen, L. Gong, and Y. Liu, “Flyover: A model-driven method to generate diverse highway interchanges for autonomous vehicle testing,” arXiv preprint arXiv:2301.12738

Original

2023

Closest in time.

Accessed on Apr 3, 2023

ASAM, “Asam openxontology,” 2023 · 2023

Closest in time.

P. Weissensteiner, G. Stettinger, S. Khastgir, and D. Watzenig, “Operational design domain-driven coverage for the safety argumentation of automated vehicles,” IEEE Access

2023