Shenzhen, China

Chaoda Zheng

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Shenzhen Future Network of Intelligence Institute (Fnii- Shenzhen). Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chaoda Zheng. Retrieved from https://idiyas.com/inventor/chaoda-zheng

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Chaoda Zheng and LiDAR-Based Target Tracking

Introduction

Chaoda Zheng is an inventor based in Shenzhen, China. His work includes a patented method for tracking target objects in point-cloud data collected by LiDAR sensors.

Latest Patents

Zheng is associated with one patent: “Target Object Tracking Method, Device, Apparatus, and Storage Medium.” The invention processes a sequence of point-cloud data from a target scene. It identifies the target’s bounding box in the first frame, extracts the points within that box to create a template, and expands the template using an ATG algorithm. Features from search areas in subsequent frames are compared with the expanded and reference templates to generate and display the target-tracking result.

Career Highlights

Zheng is associated with the Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen). His patent describes a point-cloud tracking approach that combines three-dimensional target tracking, template expansion, and feature comparison.

Collaborations

Zhen Li and Jiantao Gao are identified as Zheng’s coworkers.

Conclusion

Chaoda Zheng’s patent focuses on using LiDAR point-cloud data and template-based comparisons to track target objects across successive frames.

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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