Incheon, South Korea

Chang Oh Mun

This inventor holds 1 USPTO granted patent and 1 published patent application and 2 EPO patents. Top assignees: Miele & Cie. Kg, Yujin Robot Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chang Oh Mun. Retrieved from https://idiyas.com/inventor/chang-oh-mun

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

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: Chang Oh Mun and His Micro-LIDAR Innovation.

Introduction

Chang Oh Mun is an inventor associated with Incheon, South Korea. His patent work includes a compact rotational-scanning LIDAR sensor designed to improve distance measurement and object-angle estimation.

Latest Patents

The provided information identifies one patent for Chang Oh Mun: Micro-LIDAR sensor. The invention describes a miniaturized rotational-scanning LIDAR system with multiple transmitter and receiver groups positioned on an inclined surface of a rotary module. The sensor adjusts light exposure time and intensity according to scanning conditions to produce a point cloud with improved distance-measurement accuracy. It also determines a relative angle using a reflective pattern returned from an object. Chang Oh Mun is credited with 1 patent in the supplied data.

Career Highlights

The supplied career information associates Chang Oh Mun with Miele & Cie. KG and Yujin Robot Co., Ltd. His listed patent reflects work on sensing technology relevant to precise distance measurement and object detection.

Collaborations

The available information names Miele & Cie. KG and Yujin Robot Co., Ltd. as companies Chang Oh Mun worked with, but it does not specify particular joint projects or patent collaborations.

Conclusion

Chang Oh Mun’s listed Micro-LIDAR sensor patent focuses on compact scanning hardware, adaptive light control, and more accurate object measurement, highlighting his contribution to LIDAR innovation.

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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