Shanghai, China

Xinfei Lu

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovator Xinfei Lu: Leading Advancements in Target Tracking Technology

Introduction:

Xinfei Lu is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of radar technology, specifically in the areas of target feature extraction and multi-target tracking.

Latest Patents:

Xinfei Lu holds a patent titled Method of Target Feature Extraction and Multi-Target Tracking Based on 4D Millimeter Wave Radar. This innovative method involves acquiring point cloud data from radar and preprocessing it to eliminate outlier values. The data is then processed using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering technique, leading to effective target feature extraction. The method predicts existing trajectories and globally correlates results with clustering outcomes. Additionally, the processing includes obtaining the transverse pendulum angular velocity and updating target size information along with heading angle information.

Career Highlights:

Xinfei Lu is currently affiliated with Shanghai Geometrical Perception and Learning Co., Ltd., where he dedicates his expertise to the development of advanced technological solutions. His work primarily focuses on enhancing the capabilities of radar systems for real-time target tracking.

Collaborations:

Throughout his career, Xinfei Lu has collaborated with notable professionals in his field, including Song Pan and Jianjun Zhang. These collaborations have played a crucial role in the advancement of their collective research and innovation efforts.

Conclusion:

With a pioneering spirit and a commitment to technological advancement, Xinfei Lu continues to push the boundaries of innovation in the realm of radar technology. His contributions, particularly through his patented methods, position him as a key figure in the evolution of multi-target tracking systems.

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