Company Filing History:
Years Active: 2023-2025
Title: Innovations of Xudong Chen in Autonomous Driving Technology.
Introduction
Xudong Chen is a prominent inventor based in Sunnyvale, CA, who has made significant contributions to the field of autonomous driving technology. With a focus on landmark detection, his work utilizes advanced deep neural networks to enhance vehicle navigation systems. He holds 2 patents that reflect his innovative approach to solving complex problems in this rapidly evolving industry.
Latest Patents
One of Xudong Chen's latest patents is centered around "Landmark detection using curve fitting for autonomous driving applications." This invention involves executing one or more deep neural networks (DNNs) to regress on control points of a curve. The control points are utilized to perform a curve fitting operation, such as Bezier curve fitting, to identify landmark locations and geometries in an environment. The outputs of the DNNs indicate both two-dimensional (2D) image-space and three-dimensional (3D) world-space control point locations. Post-processing techniques, including clustering and temporal smoothing, are employed to determine landmark locations and poses with precision and in real-time. Consequently, reconstructed curves corresponding to landmarks, such as lane lines, road boundary lines, crosswalks, poles, and text, can be used by vehicles to navigate their environments effectively.
Career Highlights
Xudong Chen is currently employed at Nvidia Corporation, a leading company in graphics processing and artificial intelligence. His work at Nvidia allows him to collaborate with some of the brightest minds in the industry, contributing to groundbreaking advancements in technology.
Collaborations
Some of his notable coworkers include Minwoo Park and Yilin Yang, who work alongside him in developing innovative solutions for autonomous driving applications.
Conclusion
Xudong Chen's contributions to autonomous driving technology through his patents and work at Nvidia Corporation highlight his role as a key innovator in the field. His advancements in landmark detection are paving the way for safer and more efficient navigation systems in vehicles.