Seoul, South Korea

Hee Chul Choi

This inventor holds 1 USPTO granted patent. Top assignees: Hyundai Motor Company, Kia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hee Chul Choi. Retrieved from https://idiyas.com/inventor/hee-chul-choi-sumy310y

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Hee Chul Choi and Multimodal Object Recognition

Introduction

Hee Chul Choi is an inventor associated with Seoul, South Korea, and has worked with Hyundai Motor Company and Kia Corporation. His patent work includes an approach to object recognition that combines camera and lidar data.

Latest Patents

Choi is associated with 1 patent, titled “Apparatus and Method for Recognizing an Object.” The invention describes an apparatus with a camera that captures a two-dimensional image, a lidar that obtains three-dimensional information, and a processor that combines the resulting data. The processor generates a bird’s-eye-view feature map from the three-dimensional information and an image feature map from a multichannel two-dimensional image augmented with that information. It then mixes the feature maps into a complex feature map, which an artificial intelligence model uses to recognize objects.

Career Highlights

Choi’s listed company affiliations include Hyundai Motor Company and Kia Corporation. His patent illustrates a technical focus on combining camera imagery, lidar data, and artificial intelligence for object recognition.

Collaborations

Choi’s listed coworker is Jong Hyuk Lim, who is identified in the provided information as a woman. The patent’s described system brings together image processing, lidar-based sensing, and artificial intelligence.

Conclusion

Hee Chul Choi’s object-recognition patent presents a multimodal approach that combines two-dimensional imagery and three-dimensional lidar information to support AI-based recognition.

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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