Sunnyvale, CA, United States of America

Jian Sheng


 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2021

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Inventor Jian Sheng: Innovating Sensor Synchronization for Autonomous Vehicles

Introduction: Jian Sheng, a notable inventor based in Sunnyvale, CA, has made significant contributions to the field of autonomous driving technology. With a keen focus on sensor synchronization, his innovations are paving the way for safer and more efficient autonomous vehicles.

Latest Patents: Jian Sheng holds a patent titled "System for sensor synchronization data analysis in an autonomous driving vehicle." This invention addresses the challenges associated with synchronizing multiple sensors on autonomous vehicles. It describes a method for acquiring raw sensor data from two sensors, generating an accuracy map based on this data, and subsequently analyzing synchronization between these sensors using predetermined algorithms. This innovation plays a crucial role in enhancing the accuracy and reliability of sensor information in the context of autonomous driving environments.

Career Highlights: Throughout his career, Jian Sheng has worked with prominent companies in the technology sector, including Baidu USA LLC and Baidu Times Technology (Beijing) Co., Ltd. His experiences in these innovative organizations have provided him with a robust foundation in research and development, particularly in the realm of autonomous systems.

Collaborations: Jian Sheng has collaborated with talented professionals such as Shuai Wang and Shuangcheng Guo. These partnerships have not only bolstered his innovative endeavors but have also contributed to advancements in sensor technology and autonomous vehicle systems.

Conclusion: Jian Sheng's work exemplifies the intersection of innovation and practicality in the rapidly evolving field of autonomous vehicles. With his focus on sensor synchronization, he continues to contribute valuable insights and advancements that hold the promise of enhancing the safety and efficiency of autonomous driving experiences in the future.

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