Tokyo, Japan

Noriyoshi Yamashina

USPTO Granted Patents = 4 

Average Co-Inventor Count = 1.7

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Chiyoda-ku, JP (2010)
  • Tokyo, JP (2019 - 2023)

Company Filing History:


Years Active: 2010-2023

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4 patents (USPTO):Explore Patents

Title: Noriyoshi Yamashina: Innovator in Object Recognition Technology

Introduction

Noriyoshi Yamashina is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of object recognition technology, holding a total of four patents. His work focuses on enhancing the accuracy and efficiency of object recognition systems, which are crucial in various applications, including vehicle control.

Latest Patents

Yamashina's latest patents include an object recognition device and method designed to classify object data even when not all data has been received. This innovative device can determine which pieces of data are ready for association and which are not, allowing for more effective processing. Additionally, he has developed an object recognition apparatus and vehicle control apparatus that improve recognition accuracy for surrounding objects. These inventions utilize data from sensors to enhance the reliability of object recognition, which is vital for safe vehicle operation.

Career Highlights

Throughout his career, Noriyoshi Yamashina has worked with notable companies such as Mitsubishi Electric Corporation and Mazda Motor Corporation. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking advancements in technology.

Collaborations

Yamashina has collaborated with esteemed colleagues, including Masanori Mori and Koji Iida. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.

Conclusion

Noriyoshi Yamashina's contributions to object recognition technology demonstrate his expertise and commitment to innovation. His patents reflect a deep understanding of the complexities involved in object recognition and vehicle control systems. His work continues to influence advancements in these critical areas.

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