Sunnyvale, CA, United States of America

Yong Xiao

This inventor holds 5 USPTO granted patents and 1 EPO patent. Top assignees: Baidu USA LLC, Baidu.com Times Technology (Beijing) Co. Ltd.. Active years: 2022-2023.


% Patents Active = 100.0

 

Average Co-Inventor Count = 5.0

ph-index = 3

Forward Citations = 23(Granted Patents)


Company Filing History:


Years Active: 2022-2023

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5 patents (USPTO):Explore Patents

Title: Yong Xiao - Innovator in Autonomous Vehicle Technology

Introduction

Yong Xiao is a prominent inventor based in Sunnyvale, CA, known for his contributions to the field of autonomous vehicle technology. With a total of 5 patents, he has made significant strides in enhancing the capabilities of autonomous driving systems.

Latest Patents

Yong Xiao's latest patents include a "Point Clouds Registration System for Autonomous Vehicles." This innovative system is designed for the registration of point clouds captured by LIDAR sensors on autonomous driving vehicles (ADVs). It efficiently processes multiple point clouds and corresponding poses, optimizing them for accurate mapping of navigable areas. Another notable patent is the "Real-Time Map Generation System for Autonomous Vehicles." This system receives a continuous stream of point clouds and poses, extracting segment information to create a dynamic point cloud map in real-time, thereby improving the vehicle's perception of its driving environment.

Career Highlights

Throughout his career, Yong Xiao has worked with several notable companies, including Baidu and Times Technology (Beijing) Co. Ltd. His experience at Baidu USA LLC has further solidified his expertise in the field of autonomous technologies.

Collaborations

Yong has collaborated with talented individuals such as Li Yu and Shiyu Song, contributing to the advancement of innovative solutions in autonomous vehicle systems.

Conclusion

Yong Xiao's work in autonomous vehicle technology showcases his dedication to innovation and improvement in the field. His patents reflect a commitment to enhancing the safety and efficiency of autonomous driving systems.

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