This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignee: Qualcomm Incorporated. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Youngsaeng Jin: Innovator in Vehicular Systems
Introduction
Youngsaeng Jin is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of vehicular systems, particularly in the area of machine learning techniques for vehicle guidance. His innovative approach has led to the development of a unique patent that enhances the efficiency of birds-eye view generation.
Latest Patents
Youngsaeng Jin holds a patent titled "Efficient birds-eye view (BEV) generation in vehicular systems." This patent provides systems, methods, and devices that support machine learning techniques for vehicle guidance. The method involves receiving an image frame from an image sensor, correcting the vertical axis of the image frame, and generating a top-down representation of the environment based on the projected image frame. The projected image frame is aligned with the vertical axis of the top-down representation and is projected using a cylindrical family projection. This innovative approach produces a top-down representation by assembling depth and context matrices from vertically aligned pixels in the projected image frame. He has 1 patent to his name.
Career Highlights
Youngsaeng Jin is currently employed at Qualcomm Incorporated, a leading technology company known for its advancements in telecommunications and semiconductor technology. His work at Qualcomm has allowed him to explore and implement cutting-edge technologies in vehicular systems.
Collaborations
Throughout his career, Youngsaeng Jin has collaborated with talented individuals such as Soyeb Noormohammed Nagori and Seok-Soo Hong. These collaborations have further enriched his work and contributed to the development of innovative solutions in the field.
Conclusion
Youngsaeng Jin is a notable inventor whose work in vehicular systems has the potential to revolutionize vehicle guidance through advanced machine learning techniques. His contributions are paving the way for more efficient and effective vehicular technologies.