Company Filing History:
Years Active: 2024-2025
Title: Dongsu Lee - Innovator in Autonomous Vehicle Technology.
Introduction
Dongsu Lee is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of autonomous vehicle technology, holding 2 patents that focus on improving driving characteristics and addressing traffic flow issues.
Latest Patents
One of his latest patents is titled "Apparatus and method for inferring driving characteristics of a vehicle." This invention relates to a method that observes a target driving vehicle to generate driving data, which includes behavior information. The method employs reinforcement learning on an artificial intelligence model to enhance the inference of driving characteristics. The process involves generating sampled inference behavior data and comparing it with actual behavior data to refine the driving characteristic coefficients.
Another notable patent is the "Method for combating stop-and-go wave problem using deep reinforcement learning based autonomous vehicles, recording medium and device for performing the method." This invention addresses the stop-and-go wave problem by utilizing deep reinforcement learning algorithms to train autonomous vehicles. It focuses on optimizing the driving behavior of autonomous vehicles in environments shared with non-autonomous vehicles, ensuring smoother traffic flow.
Career Highlights
Dongsu Lee is affiliated with Soongsil University, where he contributes to research and development in the field of autonomous systems. His work is instrumental in advancing the understanding and implementation of intelligent driving technologies.
Collaborations
He collaborates with Minhae Kwon, working together on innovative projects that aim to enhance the capabilities of autonomous vehicles.
Conclusion
Dongsu Lee's contributions to autonomous vehicle technology through his patents and research at Soongsil University highlight his role as a key innovator in this rapidly evolving field. His work not only addresses current challenges but also paves the way for future advancements in intelligent transportation systems.