Santa Clara, CA, United States of America

Xin Tong

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2023

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Innovations of Inventor Xin Tong

Introduction

Xin Tong is an accomplished inventor based in Santa Clara, CA (US). He has made significant contributions to the field of autonomous machine applications, particularly through his innovative use of deep neural networks.

Latest Patents

Xin Tong holds 2 patents, with his latest patent focusing on "Temporal information prediction in autonomous machine applications." This invention involves training a sequential deep neural network (DNN) using ground truth data generated by correlating sensor data with image data. The DNN is designed to compute various predictions using image data alone, which include velocities of objects in the fields of view of an ego-vehicle, current and future locations of these objects, and time-to-collision (TTC) between the objects and the ego-vehicle. These predictions are crucial for enhancing the perception systems of autonomous vehicles, allowing them to understand and react to their physical environments effectively.

Career Highlights

Xin Tong is currently employed at Nvidia Corporation, a leading company in the field of graphics processing and artificial intelligence. His work at Nvidia has positioned him at the forefront of technological advancements in autonomous systems.

Collaborations

Xin collaborates with talented individuals such as Yue Wu and Pekka Janis, contributing to a dynamic and innovative work environment.

Conclusion

Xin Tong's contributions to the field of autonomous machine applications through his patents and work at Nvidia Corporation highlight his role as a key innovator in the industry. His advancements in deep neural networks are paving the way for safer and more efficient autonomous vehicles.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…