Back

DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving

Tianqi WangSukmin KimWenxuan JiEnze XieChongjian GeJunsong ChenZhenguo LiPing Luo

article2024AAAI125 citations
autonomous driving
Wang et al (2024).pdf

Topics

autonomous driving

Citation

MLA
Wang, T., et al. “DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving”. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 6, 2024, pp. 5599–606, https://doi.org/10.1609/AAAI.V38I6.28370.
APA
Wang, T., Kim, S., Wenxuan, J., Xie, E., Ge, C., Chen, J., Li, Z., & Luo, P. (2024). DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving. Proceedings of the AAAI Conference on Artificial Intelligence, 38(6), 5599–5606. https://doi.org/10.1609/AAAI.V38I6.28370
Chicago
Wang, T., S. Kim, J. Wenxuan, et al. 2024. “DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving”. Proceedings of the AAAI Conference on Artificial Intelligence 38 (6): 5599–5606. https://doi.org/10.1609/AAAI.V38I6.28370.
Harvard
Wang, T. et al. (2024) “DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving”, Proceedings of the AAAI Conference on Artificial Intelligence, 38(6), pp. 5599–5606. Available at: https://doi.org/10.1609/AAAI.V38I6.28370.
Vancouver
1. Wang T, Kim S, Wenxuan J, Xie E, Ge C, Chen J, Li Z, Luo P (2024) DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving. Proceedings of the AAAI Conference on Artificial Intelligence 38:5599–5606

BibTeX

@article{Wang_2024, title={DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving}, volume={38}, ISSN={2159-5399}, url={http://dx.doi.org/10.1609/AAAI.V38I6.28370}, DOI={10.1609/aaai.v38i6.28370}, number={6}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, publisher={Association for the Advancement of Artificial Intelligence (AAAI)}, author={Wang, Tianqi and Kim, Sukmin and Wenxuan, Ji and Xie, Enze and Ge, Chongjian and Chen, Junsong and Li, Zhenguo and Luo, Ping}, year={2024}, month=Mar, pages={5599–5606} }
Metadata:Crossref

Access the Paper

This paper is available from its original source. Click below to access the PDF.

Open PDF