Xi'an, China

Juanru Cheng

This inventor holds 1 USPTO granted patent. Top assignee: Chang'an University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Juanru Cheng. Retrieved from https://idiyas.com/inventor/juanru-cheng

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

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Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Juanru Cheng and Multimodal 3D Target Detection

Introduction

Juanru Cheng is an inventor associated with Chang’an University in Xi’an, China. His patent work addresses three-dimensional target detection by combining point-cloud and image data.

Latest Patents

Cheng is named on one patent, titled “Three-dimensional target detection method based on multimodal fusion and depth attention mechanism.” The method preprocesses point-cloud and image data, then feeds them into a 3D detection network with proposal-generation and bounding-box-refinement phases. The network produces target bounding-box parameters and classification confidence. After training, it processes LiDAR point clouds and images to output 3D target information. Cheng’s listed patent portfolio comprises 1 patent.

Career Highlights

Cheng’s disclosed invention focuses on integrating multiple data modalities and applying a depth attention mechanism to 3D target detection. The patent describes a workflow spanning data preparation, network training, and detection.

Collaborations

Cheng is associated with Chang’an University. Yang Wang is identified as his coworker.

Conclusion

Juanru Cheng’s patent presents a multimodal approach to 3D target detection, combining LiDAR point clouds and image data through a trained detection network.

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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