Beijing, China

Jingsheng Hu

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 6.5

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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2 patents (USPTO):Explore Patents

Title: Jingsheng Hu: Innovator in Vehicle Imaging Technology

Introduction

Jingsheng Hu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of automatic driving technology, particularly in the development of innovative imaging devices for vehicles. With a total of 2 patents, Hu's work showcases his commitment to enhancing vehicle safety and functionality.

Latest Patents

Hu's latest patents include a "Photographing Device for Vehicle" and a "Camera for a Vehicle Including a Wiping Member." The photographing device is designed to improve automatic driving technology by incorporating a seat-mounted camera and a rotatable lens holder. This innovative design allows for enhanced image capture from various angles. The second patent focuses on an imaging device that features a casing with a transparent cover, enabling the camera to obtain clear image information while also incorporating a wiping member to maintain the cleanliness of the transparent cover.

Career Highlights

Throughout his career, Jingsheng Hu has worked with notable companies such as Baidu Online Network Technology Co., Ltd. and Apollo Intelligent Connectivity Technology Co., Ltd. His experience in these organizations has allowed him to collaborate on cutting-edge projects that push the boundaries of vehicle technology.

Collaborations

Hu has collaborated with talented individuals in the field, including Zongtao Fan and Bolei Wang. These partnerships have contributed to the successful development of his innovative patents and have fostered a collaborative environment for technological advancement.

Conclusion

Jingsheng Hu's contributions to vehicle imaging technology reflect his dedication to innovation and safety in the automotive industry. His patents demonstrate a forward-thinking approach that is essential for the future of automatic driving technology.

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