Hefei, China

Lei Liu

This inventor holds 1 USPTO granted patent. Top assignee: Anhui Jiaoxin Technology Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lei Liu. Retrieved from https://idiyas.com/inventor/lei-liu-u54t7n8f

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

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Lei Liu and GPS-Based Drift Optimization for Vehicle-Mounted Machines.

Introduction

Lei Liu is an inventor associated with Hefei, China, and Anhui Jiaoxin Technology Co., Ltd. His patent work addresses the use of GPS data to improve drift handling in vehicle-mounted machines.

Latest Patents

The provided information lists one patent for Lei Liu: “Drift Optimization Systems for Vehicle-Mounted Machines Based on Global Positioning Systems.” The disclosed system uses a vehicle sensor, camera unit, GPS receiver, memory, and processor. It classifies GPS positions collected over a preset period, sends a command when a position is considered secure, and resets a datum point when an abnormal position is preceded by a specified sequence of abnormal positions. The record lists 1 patent.

Career Highlights

Liu’s listed invention focuses on processing GPS position sequences to distinguish secure readings from abnormal ones. This approach is intended to support drift optimization for vehicle-mounted equipment.

Collaborations

The supplied information identifies Zihui Ren and Shuai Zhang as Liu’s coworkers. Their specific roles in the patent or related work are not provided.

Conclusion

Lei Liu’s listed patent reflects work on GPS-based drift optimization, combining vehicle sensors and position classification to respond to abnormal GPS readings.

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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