Beijing, China

Xiaoling Zhu

USPTO Granted Patents = 5 


 

Average Co-Inventor Count = 2.9

ph-index = 2

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2020-2022

where 'Filed Patents' based on already Granted Patents

5 patents (USPTO):

Title: Innovations of Xiaoling Zhu

Introduction

Xiaoling Zhu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in the development of methods and systems for point cloud generation and high-definition mapping. With a total of five patents to his name, Zhu's work is at the forefront of innovation in his industry.

Latest Patents

Xiaoling Zhu's latest patents include "Methods and systems for color point cloud generation." This invention provides methods for generating a color point cloud by segmenting a point cloud into multiple segments associated with a vehicle's trajectory. The method also involves aggregating segments with images based on calibration parameters. Another notable patent is "Systems and methods for updating a high-definition map." This invention outlines a process for updating a local HD map using multiple point cloud data frames, enhancing the accuracy and reliability of mapping technologies.

Career Highlights

Zhu has worked with notable companies such as Beijing Didi Infinity Technology and Development Co., Ltd. and Beijing Guodian Tong Network Technology Co., Ltd. His experience in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to advancements in technology.

Collaborations

Xiaoling Zhu has collaborated with talented individuals in his field, including Teng Ge Ma and Lu Feng. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Xiaoling Zhu's contributions to technology through his patents and collaborations highlight his role as an influential inventor. His work continues to shape the future of point cloud generation and high-definition mapping.

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