Zhubei City, Taiwan

Hsin-Hao Chang

This inventor holds 1 USPTO granted patent. Top assignee: Ambarella International LP. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hsin-Hao Chang. Retrieved from https://idiyas.com/inventor/hsin-hao-chang-j5f0df17

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Hsin-Hao Chang and Radar-Camera Object Detection

Introduction

Hsin-Hao Chang is an inventor associated with Zhubei City, Taiwan. His patent work concerns combining radar data with images from a single-lens camera to identify objects.

Latest Patents

Chang is credited with 1 patent: “Fusing Objects Detected by Radar Without Height Information to the Object Captured by a Single Lens Camera.” The invention describes an apparatus with an interface that receives pixel and radar data, and a processor that analyzes video frames and radar detections. Using coordinate transformation data, the processor maps detections into an aligned coordinate system, checks for intersections according to matching rules, and generates information about an object when a match is found.

Career Highlights

Chang is associated with Ambarella International LP. His patent illustrates an approach to sensor fusion that links radar detections, even when height information is unavailable, with objects captured by a camera.

Collaborations

Chang’s listed coworker is Chih-hao Chang. The available information identifies their professional association but does not specify a particular joint project.

Conclusion

Hsin-Hao Chang’s patent focuses on aligning radar and camera data to support object detection, reflecting his work in sensor-fusion technology.

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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