Beijing, China

Renlan Cai

USPTO Granted Patents = 6 

 

Average Co-Inventor Count = 4.9

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021-2023

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):

Title: Renlan Cai: Innovator in Intelligent Driving Technologies

Introduction

Renlan Cai is a prominent inventor based in Beijing, China, known for his contributions to the field of intelligent driving technologies. With a total of six patents to his name, Cai has made significant advancements in positioning methods and apparatuses that enhance vehicle navigation systems.

Latest Patents

Cai's latest patents include a positioning method and apparatus that leverage point cloud data collected by lidar in conjunction with a laser point cloud reflection value map. This innovative approach determines a first positioning result and constructs a constraint condition to accelerate the convergence speed of solving a receiver's position using observation data. Additionally, he has developed a method and apparatus for processing positioning data, which involves controlling a vehicle to continuously collect positioning data across five distinct stages. This method ensures the final positioning data undergoes error convergence, resulting in improved accuracy.

Career Highlights

Throughout his career, Renlan Cai has worked with notable companies such as Baidu Online Network Technology Co., Ltd. and Beijing Baidu Netcom Science and Technology Co., Ltd. His experience in these organizations has allowed him to refine his expertise in intelligent driving technologies and positioning systems.

Collaborations

Cai has collaborated with several talented individuals in his field, including Shiyu Song and Wenjie Liu, who have contributed to his innovative projects and research endeavors.

Conclusion

Renlan Cai's work in intelligent driving technologies and positioning methods showcases his commitment to advancing the automotive industry. His patents reflect a deep understanding of the technical challenges in vehicle navigation, making him a key figure in this evolving field.

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