Hong Kong, China

Jiaman Li

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Jiaman Li: Innovator in Smart Vehicle Control Technology

Introduction

Jiaman Li is a notable inventor based in Hong Kong, CN. He has made significant contributions to the field of smart vehicle technology, particularly through his innovative patent. His work focuses on enhancing the capabilities of vehicles to predict the movement of target objects, which is crucial for improving safety and efficiency in transportation.

Latest Patents

Jiaman Li holds a patent titled "Method for predicting direction of movement of target object, vehicle control method, and device." This patent describes a sophisticated method for predicting the direction of movement of a target object. The process involves acquiring the apparent orientation of the target object from images captured by a camera device. It also includes determining the relative position relationship of the target object in three-dimensional space. This innovative approach allows for more accurate predictions of a target object's movement relative to the traveling direction of the camera device.

Career Highlights

Throughout his career, Jiaman Li has worked with prominent companies in the technology and automotive sectors. He has been associated with Sensetime Group Limited, a leader in artificial intelligence, and Honda Motor Co., Ltd., a renowned automobile manufacturer. His experience in these organizations has allowed him to develop and refine his innovative ideas in smart vehicle technology.

Collaborations

Jiaman Li has collaborated with talented individuals in his field, including Shu Zhang and Zhaohui Yang. These collaborations have contributed to the advancement of his research and the successful development of his patent.

Conclusion

Jiaman Li is a pioneering inventor whose work in smart vehicle control technology is shaping the future of transportation. His innovative methods for predicting the movement of target objects are essential for enhancing vehicle safety and efficiency.

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