Beijing, China

Xingyu Zeng

USPTO Granted Patents = 4 

Average Co-Inventor Count = 4.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Beijing, CN (2021)
  • Hong Kong, CN (2021 - 2023)

Company Filing History:


Years Active: 2021-2023

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4 patents (USPTO):Explore Patents

Title: Innovations of Xingyu Zeng

Introduction

Xingyu Zeng is a prominent inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in the areas of smart vehicle control and object detection. With a total of four patents to his name, Zeng's work showcases his expertise and innovative thinking.

Latest Patents

Zeng's latest patents include a method for predicting the direction of movement of a target object, which involves acquiring the apparent orientation of the target in an image captured by a camera device. This method also determines the direction of movement relative to the camera's traveling direction. Another notable patent is a three-dimensional object detection method, which constructs a pseudo 3D detection body based on two-dimensional coordinates and obtains depth information to determine a 3D detection body in space. These innovations highlight his focus on enhancing smart driving technologies.

Career Highlights

Throughout his career, Xingyu Zeng has worked with notable companies such as Sensetime Group Limited and Honda Motor Co., Ltd. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in vehicle technology and artificial intelligence.

Collaborations

Zeng has collaborated with esteemed colleagues, including Junjie Yan and Xiaogang Wang. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Xingyu Zeng's contributions to the field of technology through his patents and collaborations demonstrate his commitment to innovation. His work continues to influence advancements in smart vehicle control and object detection, making him a notable figure in the industry.

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