4 papers · 1 filter
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…
LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds
Zhenrong Zhang, Jianan Liu, Yuxuan Xia +3
Online multi-object tracking (MOT) plays a pivotal role in autonomous systems. The state-of-the-art approaches usually employ a tracking-by-detection method, and data association p…
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…
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…