San Diego, CA, United States of America

Zhibei Ma

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Tusimple, Inc.. Active years: 2024-2025.

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Zhibei Ma: Innovator in Multi-Sensor Calibration Systems

Introduction

Zhibei Ma is a prominent inventor based in San Diego, CA, known for his contributions to the field of multi-sensor calibration systems. With a total of two patents to his name, he has made significant strides in enhancing vehicle sensor technology.

Latest Patents

Zhibei Ma's latest patents focus on techniques for performing multi-sensor calibration on vehicles. One of the key methods described involves obtaining sensor data from at least two sensors located on a vehicle. This data pertains to a road that includes a lane marker. The process includes extracting location information of the lane marker from each sensor data item and calculating the extrinsic parameters of the sensors. This calculation is based on determining the difference between the location information from each sensor and previously stored location information of the lane marker.

Career Highlights

Zhibei Ma is currently employed at TuSimple, Inc., where he applies his expertise in sensor technology to develop innovative solutions for autonomous vehicles. His work is instrumental in advancing the capabilities of multi-sensor systems, which are crucial for safe and efficient vehicle navigation.

Collaborations

Zhibei collaborates with talented individuals such as Chenzhe Qian and Ji Zhao, contributing to a dynamic team focused on pushing the boundaries of vehicle technology.

Conclusion

Zhibei Ma's work in multi-sensor calibration systems exemplifies the innovative spirit of modern inventors. His contributions are paving the way for advancements in vehicle technology and enhancing the safety and efficiency of autonomous driving systems.

Profile summary based on public USPTO records.
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