• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid
The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.
SCImago Journal & Country Rank

Journal Search

  1. Home
  2. Archive
  3. 2026-11 (Vol.75 No.11)
  4. 10.5370/KIEE.2026.75.11.2987
XML PDF INFO REF

References

1 
Y. Hu, J. Yang, L. Chen, "Planning-oriented autonomous driving," pp. 17853-17862, Proc. IEEE/CVF Conf. Computer Vision and Pattern Recognition, 2023. Google Search
2 
B. Jiang, S. Chen, Q. Xu, "VAD: Vectorized scene representation for efficient autonomous driving," pp. 8340-8350, Proc. IEEE/CVF Int. Conf. Computer Vision, 2023. Google Search
3 
C. Sima, K. Renz, K. Chitta, "DriveLM: Driving with graph visual question answering," arXiv preprint arXiv:2312.14150, 2023. Google Search
4 
X. Tian, J. Gu, B. Li, "DriveVLM: The convergence of autonomous driving and large vision-language models," vol. 270, pp. 4698-4726, Proc. 8th Conf. Robot Learning, 2025. Google Search
5 
Y. Wang, W. Luo, J. Bai, "Alpamayo-R1: Bridging reasoning and action prediction for generalizable autonomous driving in the long tail," arXiv preprint arXiv:2511.00088, 2025. Google Search
6 
S. Xie, L. Kong, Y. Dong, "Are VLMs ready for autonomous driving? an empirical study from the reliability, data, and metric perspectives," pp. 6585-6597, Proc. IEEE/CVF Int. Conf. Computer Vision, 2025. Google Search
7 
S. Shalev-Shwartz, S. Shammah, A. Shashua, "On a formal model of safe and scalable self-driving cars," arXiv preprint arXiv:1708.06374, 2017. Google Search
8 
G. Katz, D. A. Huang, D. Ibeling, "The Marabou framework for verification and analysis of deep neural networks," pp. 443-452, Proc. Int. Conf. Computer Aided Verification, 2019. Google Search
9 
D. J. Fremont, T. Dreossi, S. Ghosh, "Scenic: A language for scenario specification and scene generation," pp. 63-78, Proc. ACM SIGPLAN Conf. Programming Language Design and Implementation, 2019. Google Search
10 
L. Zhang, Z. Peng, Q. Li, B. Zhou, "CAT: Closed-loop adversarial training for safe end-to-end driving," arXiv preprint arXiv:2310.12432, 2023. Google Search