Osaka, Japan

Hiromi Ohkubo

This inventor holds 1 USPTO granted patent. Top assignee: Daikin Industries, Ltd.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hiromi Ohkubo. Retrieved from https://idiyas.com/inventor/hiromi-ohkubo

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


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Hiromi Ohkubo: Innovator in Point Cloud Data Estimation

Introduction

Hiromi Ohkubo is a notable inventor based in Osaka, Japan. He has made significant contributions to the field of point cloud data estimation. His innovative work focuses on improving the accuracy of evaluating sameness in point cloud datasets.

Latest Patents

Ohkubo holds a patent for an "Apparatus for estimating sameness of point cloud data and system for estimating sameness of point cloud data." This invention provides a method for estimating the sameness of objects that are sources of two 3-dimensional point cloud datasets. The apparatus includes a point cloud data acquisition unit, two neural networks for feature extraction, and a sameness evaluation unit that outputs an evaluation based on the features extracted. This technology enhances the accuracy of evaluating sameness in point cloud data.

Career Highlights

Hiromi Ohkubo is currently employed at Daikin Industries, Ltd., where he continues to develop innovative solutions in his field. His work has garnered attention for its potential applications in various industries that utilize 3D data.

Collaborations

Ohkubo collaborates with talented individuals such as Yuki Uranishi and Tadafumi Nishimura. Their combined expertise contributes to the advancement of technologies related to point cloud data.

Conclusion

Hiromi Ohkubo's contributions to point cloud data estimation demonstrate his commitment to innovation and technology. His patent reflects a significant advancement in the field, showcasing the potential for improved accuracy in data evaluation.

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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