End-to-end autonomous driving model and trajectory generation results developed by Prof. Jun Won Choi's research team at SNU. Credit: Seoul National University College of Engineering
A research team led by Jun Won Choi, a professor in the Department of Electrical and Computer Engineering at Seoul National University College of Engineering, has developed SafeDrive, an end-to-end (E2E) autonomous driving AI model aligned with recent global trends in autonomous driving technology. The work was selected as a highlight paper at the Conference on Computer Vision and Pattern Recognition (CVPR) 2026.
Highlight papers at CVPR represent approximately 3% of all submissions and about 10% of accepted papers, recognizing a small group of highly impactful studies. The achievement by Choi's team is regarded as a significant milestone demonstrating that Korean researchers can independently develop world-class autonomous driving AI technologies.
Recent advances in autonomous driving have increasingly shifted toward Physical AI-based approaches to improve safety and handle edge cases. In particular, end-to-end learning methods—where large-scale driving data is collected, refined and used to emulate human driving decisions—have emerged as a core technology for building autonomous driving foundation models.
