Zihao Wu

Title: Innovations of Zihao Wu in Autonomous Driving

Introduction

Zihao Wu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of autonomous driving through his innovative work on vision-language models. His research focuses on enhancing the capabilities of autonomous systems, making them more efficient and reliable.

Latest Patents

Zihao Wu holds a patent for an "Incremental learning method and apparatus for large vision-language model for autonomous driving." This patent describes a method that includes expanding a first training sample set to create a second training sample set, which consists of various image samples annotated with road scene targets. The method involves inserting fine-tuning sub-networks into specified positions within a large Vision-Language Model to generate an updated model. The process also includes image processing to obtain target prediction results and updating parameters based on loss values while preserving the original model's parameters.

Career Highlights

Zihao Wu is affiliated with the Beijing University of Chemical Technology, where he continues to advance his research in autonomous driving technologies. His work is pivotal in bridging the gap between machine learning and practical applications in real-world scenarios.

Collaborations

Zihao Wu collaborates with notable colleagues, including Zhiwei Li and Jingshuo Liu. Their combined expertise contributes to the development of innovative solutions in the field of autonomous driving.

Conclusion

Zihao Wu's contributions to the field of autonomous driving through his innovative patent and collaborative efforts highlight his role as a key inventor in this rapidly evolving industry. His work continues to pave the way for advancements in technology that enhance the safety and efficiency of autonomous systems.