Aichi, Japan

Masao Kasuya

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Masao Kasuya. Retrieved from https://idiyas.com/inventor/masao-kasuya

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

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovations of Masao Kasuya

Introduction

Masao Kasuya is a notable inventor based in Aichi, Japan. He has made significant contributions to the field of autonomous driving technology. His innovative approach to scenario generation for autonomous vehicles has garnered attention in the industry.

Latest Patents

Kasuya holds a patent for an "Automatic scenario generator using a computer for autonomous driving." This computer-implemented method focuses on scenario generation for autonomous vehicle navigation. It includes defining a cellular automaton layer that outlines road network behavior, an active matter layer for vehicle-level behavior, and a driver agent layer that characterizes driving nature. The method combines outputs from these layers to provide comprehensive scenario generations for autonomous vehicle navigation.

Career Highlights

Kasuya is associated with International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore and develop cutting-edge technologies in the realm of autonomous driving.

Collaborations

Kasuya has collaborated with notable colleagues such as Yoshifumi Sakamoto and Hitoshi Kadoi. Their combined expertise has contributed to advancements in the field.

Conclusion

Masao Kasuya's innovative work in autonomous vehicle technology exemplifies the potential of computer-implemented methods in enhancing navigation systems. His contributions are paving the way for future advancements in autonomous driving.

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]
Loading…