Company Filing History:
Years Active: 2018-2023
Title: Seok-Soo Hong: Innovator in Lane Estimation and Traffic Sign Detection
Introduction
Seok-Soo Hong is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the fields of deep learning and computer vision, particularly in the context of automotive technology. With a total of 3 patents to his name, his work focuses on enhancing vehicle navigation and safety systems.
Latest Patents
One of Seok-Soo Hong's latest patents is titled "Hybrid lane estimation using both deep learning and computer vision." This patent discloses techniques for lane estimation that involve receiving multiple camera frames captured by a vehicle's camera sensor. The method assigns subsets of these frames to deep learning and computer vision detectors based on their availability. It identifies lane boundary lines in processed frames and generates lane models, updating previously identified models accordingly.
Another notable patent is the "Method and device for capturing image of traffic sign." This invention outlines a method for capturing images of traffic signs using an image sensor mounted in a vehicle. The process includes detecting the traffic sign in the captured images and determining the direction of the image sensor based on the vehicle's motion. The method also involves adjusting the image sensor to optimize the capture of the traffic sign.
Career Highlights
Seok-Soo Hong is currently employed at Qualcomm Incorporated, a leading company in the field of telecommunications and semiconductor technology. His work at Qualcomm allows him to leverage cutting-edge technology to develop innovative solutions for the automotive industry.
Collaborations
Throughout his career, Seok-Soo Hong has collaborated with notable colleagues, including Duck Hoon Kim and Young-Ki Baik. These collaborations have contributed to the advancement of his research and the successful development of his patents.
Conclusion
Seok-Soo Hong is a distinguished inventor whose work in lane estimation and traffic sign detection is paving the way for safer and more efficient automotive technologies. His contributions to the field are invaluable and continue to influence the future of vehicle navigation systems.