Tucson, AZ, United States of America

Jun Luo

This inventor holds 1 USPTO granted patent. Top assignee: Tusimple, Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jun Luo. Retrieved from https://idiyas.com/inventor/jun-luo-alf2l7e4

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Jun Luo - Innovator in Autonomous Vehicle Technology

Introduction

Jun Luo is a prominent inventor based in Tucson, AZ (US), known for his contributions to the field of autonomous vehicle technology. His innovative approach to sensor control has the potential to enhance the safety and efficiency of self-driving vehicles.

Latest Patents

Jun Luo holds a patent for an "Adaptive sensor control" method. This method involves collecting data about the surroundings of an autonomous vehicle, including global positioning information. It derives a perceived environment based on this data, determines the driving conditions, and modifies sensor configuration parameters to optimize data output and processing. This control system can significantly improve the functionality of autonomous vehicles.

Career Highlights

Jun Luo is currently employed at TuSimple, Inc., a company specializing in autonomous driving technology. His work focuses on developing advanced methods that enable vehicles to navigate safely and effectively in various environments.

Collaborations

Jun has collaborated with notable colleagues, including Yue Pan and Lei Nie, who contribute to the innovative projects at TuSimple, Inc.

Conclusion

Jun Luo's work in adaptive sensor control exemplifies the advancements being made in autonomous vehicle technology. His contributions are paving the way for safer and more efficient self-driving systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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