Kunfeng Wang

Title: Innovations of Kunfeng Wang in Autonomous Driving Technology

Introduction

Kunfeng Wang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of autonomous driving technology, holding a total of 4 patents. His work focuses on enhancing the capabilities of large vision-language models and decision-making processes in self-driving vehicles.

Latest Patents

Kunfeng Wang's latest patents include an "Incremental learning method and apparatus for large vision-language model for autonomous driving." This patent describes a method that expands a training sample set to improve the performance of a large Vision-Language Model. The process involves fine-tuning sub-networks and maintaining the parameters of the original model to achieve better predictions. Another notable patent is the "Method and apparatus for collaborative end-to-end large model-oriented self-driving trajectory decision-making." This invention outlines a comprehensive approach to processing various image inputs and point cloud data to make informed trajectory decisions for self-driving vehicles.

Career Highlights

Kunfeng Wang is affiliated with the Beijing University of Chemical Technology, where he continues to advance research in autonomous systems. His innovative methods have the potential to significantly improve the safety and efficiency of self-driving technologies.

Collaborations

He collaborates with esteemed colleagues such as Wei Zhang and Zhiwei Li, contributing to a dynamic research environment focused on cutting-edge technological advancements.

Conclusion

Kunfeng Wang's contributions to autonomous driving technology through his innovative patents and collaborative efforts position him as a key figure in the field. His work continues to pave the way for future advancements in self-driving systems.