Company Filing History:
Years Active: 2023-2025
Title: Innovations of Xiaolin Lin in Autonomous Driving Technology
Introduction
Xiaolin Lin is a prominent inventor based in Sunnyvale, California, known for his significant contributions to the field of autonomous driving technology. With a total of six patents to his name, Lin has been at the forefront of developing advanced systems that enhance vehicle navigation and safety.
Latest Patents
One of Lin's latest patents focuses on "Landmark detection using curve fitting for autonomous driving applications." This innovation utilizes deep neural networks (DNNs) to regress on control points of a curve, enabling precise identification of landmark locations and geometries in various environments. The DNN outputs indicate control point locations in both two-dimensional and three-dimensional spaces, allowing for real-time landmark location determination. This technology aids vehicles in navigating by reconstructing curves corresponding to landmarks such as lane lines and road boundaries.
Another notable patent is "Regression-based line detection for autonomous driving machines." This invention preserves rich spatial information from input images, allowing a machine learning model to predict distances and angles for each pixel corresponding to lines in the image. The model is trained to understand the surrounding environment, which is crucial for updating world models in autonomous machine applications.
Career Highlights
Xiaolin Lin is currently employed at Nvidia Corporation, a leading company in graphics processing and AI technology. His work at Nvidia has allowed him to leverage cutting-edge technology to develop innovative solutions for autonomous driving.
Collaborations
Lin collaborates with talented coworkers, including Minwoo Park and Hae-Jong Seo, who contribute to the advancement of autonomous driving technologies alongside him.
Conclusion
Xiaolin Lin's contributions to autonomous driving technology through his innovative patents demonstrate his expertise and commitment to enhancing vehicle navigation systems. His work continues to shape the future of autonomous vehicles, making them safer and more efficient.
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