4 papers
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…
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…
LaB-CL: Localized and Balanced Contrastive Learning for improving parking slot detection
U Jin Jeong, Sumin Roh, Il Yong Chun
Parking slot detection is an essential technology in autonomous parking systems. In general, the classification problem of parking slot detection consists of two tasks, a task dete…
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…