Yong-Woo Jo

Title: Innovations of Yong-Woo Jo in Autonomous Vehicle Technology

Introduction

Yong-Woo Jo is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of autonomous vehicle technology, holding a total of 4 patents. His work focuses on enhancing communication and learning methods among autonomous vehicles, which is crucial for the development of safer and more efficient driving systems.

Latest Patents

One of his latest patents is titled "Method and apparatus for processing driving cooperation message." This invention discloses a method for processing driving cooperation messages, which includes receiving multiple first driving cooperation messages from neighboring autonomous vehicles. The method adjusts cooperation classes of these messages, creates driving strategies based on these classes, and generates second driving cooperation messages to facilitate cooperative driving among vehicles.

Another notable patent is the "Deep network learning method using autonomous vehicle and apparatus for the same." This invention outlines a deep network learning apparatus that selects a deep network model for updates based on performance. It assigns learning amounts for various vehicles, distributes the model and learning data, and receives learning results from multiple autonomous vehicles, thereby improving the overall learning process.

Career Highlights

Yong-Woo Jo is affiliated with the Electronics and Telecommunications Research Institute, where he continues to innovate in the field of autonomous vehicle technology. His work is instrumental in advancing the capabilities of autonomous systems, making them more reliable and efficient.

Collaborations

He collaborates with notable colleagues such as Kyoung-Wook Min and Joo-Young Kim, contributing to a dynamic research environment that fosters innovation and technological advancement.

Conclusion

Yong-Woo Jo's contributions to autonomous vehicle technology through his patents and collaborative efforts highlight his role as a key innovator in this rapidly evolving field. His work not only enhances vehicle communication but also improves learning methodologies, paving the way for future advancements in autonomous driving.