3 papers
cs.RO2026
SSIL: Self-Supervised Imitation Learning for End-to-End Driving
Jin Bok Park, Jinkyu Lee, Muhyun Back +5
In autonomous driving, the end-to-end (E2E) driving approach that predicts vehicle control signals directly from sensor data is rapidly gaining attention. To learn a safe E2E drivi…
cs.CV2026
SToRM: Supervised Token Reduction for Multi-modal LLMs toward efficient end-to-end autonomous driving
Seo Hyun Kim, Jin Bok Park, Do Yeon Koo +2
In autonomous driving, end-to-end (E2E) driving systems that predict control commands directly from sensor data have achieved significant advancements. For safe driving in unexpect…
cs.CV2025
Autoregression-free video prediction using diffusion model for mitigating error propagation
Woonho Ko, Jin Bok Park, Il Yong Chun
Existing long-term video prediction methods often rely on an autoregressive video prediction mechanism. However, this approach suffers from error propagation, particularly in dista…