Open Access
| Issue |
ITM Web Conf.
Volume 80, 2025
2025 2nd International Conference on Advanced Computer Applications and Artificial Intelligence (ACAAI 2025)
|
|
|---|---|---|
| Article Number | 01033 | |
| Number of page(s) | 7 | |
| Section | Machine Learning & Deep Learning Algorithms | |
| DOI | https://doi.org/10.1051/itmconf/20258001033 | |
| Published online | 16 December 2025 | |
- Nguyen, H., Kieu, L. M., Wen, T., & Cai, C. (2018). Deep learning methods in transportation domain: A review. IET Intelligent Transport Systems, 12(9), 998-1004 [Google Scholar]
- Rosenzweig, J., & Bartl, M. (2015). A review and analysis of literature on autonomous driving. E-Journal Making-of Innovation, 1-57 [Google Scholar]
- Zhao, J., Zhao, W., Deng, B., Wang, Z., Zhang, F., Zheng, W., ... & Burke, A. F. (2024). Autonomous driving system: A comprehensive survey. Expert Systems with Applications, 242, 122836 [Google Scholar]
- Chen, L., Wu, P., Chitta, K., Jaeger, B., Geiger, A., & Li, H. (2024). End-to-end autonomous driving: Challenges and frontiers. IEEE Transactions on Pattern Analysis and Machine Intelligence [Google Scholar]
- Liao, B., Chen, S., Yin, H., Jiang, B., Wang, C., Yan, S., ... & Wang, X. (2025). DiffusionDrive: Truncated diffusion model for end-to-end autonomous driving. In Proceedings of the Computer Vision and Pattern Recognition Conference (pp. 12037-12047) [Google Scholar]
- Deng, Y., Tu, Z., Yao, J., Zhang, M., Zhang, T., & Zheng, X. (2025). Target: Traffic rule-based test generation for autonomous driving systems. IEEE Transactions on Software Engineering [Google Scholar]
- Cui, C., Ma, Y., Cao, X., Ye, W., Zhou, Y., Liang, K., ... & Zheng, C. (2024). A survey on multimodal large language models for autonomous driving. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 958-979) [Google Scholar]
- Marcu, A. M., Chen, L., Hünermann, J., Karnsund, A., Hanotte, B., Chidananda, P., ... & Sinavski, O. (2024). LingoQA: Visual question answering for autonomous driving. In European Conference on Computer Vision (pp. 252-269). Cham: Springer Nature Switzerland [Google Scholar]
- Wu, D., Han, W., Liu, Y., Wang, T., Xu, C. Z., Zhang, X., & Shen, J. (2025). Language prompt for autonomous driving. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 39, No. 8, pp. 8359-8367) [Google Scholar]
- Zheng, W., Song, R., Guo, X., Zhang, C., & Chen, L. (2024). GenAD: Generative end- to-end autonomous driving. In European Conference on Computer Vision (pp. 87-104). Cham: Springer Nature Switzerland [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.