3 papers
cs.CV2026
LP-LLM: End-to-End Real-World Degraded License Plate Text Recognition via Large Multimodal Models
Haoyan Gong, Hongbin Liu
Real-world License Plate Recognition (LPR) faces significant challenges from severe degradations such as motion blur, low resolution, and complex illumination. The prevailing "rest…
cs.CV2024
A Dataset and Model for Realistic License Plate Deblurring
Haoyan Gong, Yuzheng Feng, Zhenrong Zhang +4
Vehicle license plate recognition is a crucial task in intelligent traffic management systems. However, the challenge of achieving accurate recognition persists due to motion blur…
cs.CV2024
On the Federated Learning Framework for Cooperative Perception
Zhenrong Zhang, Jianan Liu, Xi Zhou +4
Cooperative perception is essential to enhance the efficiency and safety of future transportation systems, requiring extensive data sharing among vehicles on the road, which raises…