Kariya, Japan

Hossein Tehrani Niknejad


Average Co-Inventor Count = 5.3

ph-index = 2

Forward Citations = 7(Granted Patents)


Location History:

  • Obu, JP (2016 - 2017)
  • Kariya, JP (2018 - 2019)

Company Filing History:


Years Active: 2016-2019

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4 patents (USPTO):Explore Patents

Title: Innovations of Hossein Tehrani Niknejad

Introduction

Hossein Tehrani Niknejad is a notable inventor based in Kariya, Japan. He has made significant contributions to the field of object recognition and noise removal technologies. With a total of 4 patents to his name, his work has had a considerable impact on various applications in the automotive and technology sectors.

Latest Patents

One of his latest patents is an object recognition apparatus and noise removal method. This invention involves a range point acquirer that uses laser light to detect targets by acquiring a plurality of range points. The noise remover in this apparatus determines and removes noise points based on proximity criteria, allowing for accurate object recognition. Another significant patent is a corresponding point searching method and distance detection device. This method enhances the accuracy of identifying corresponding points in multiple images captured by in-vehicle cameras, utilizing advanced algorithms to ensure high precision in object detection.

Career Highlights

Throughout his career, Hossein has worked with prominent companies such as Denso Corporation and the Toyota School Foundation. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in automotive technology.

Collaborations

He has collaborated with notable coworkers, including Seiichi Mita and Qiwei Xie. Their joint efforts have further propelled the development of innovative solutions in their respective fields.

Conclusion

Hossein Tehrani Niknejad's contributions to technology through his patents and collaborations highlight his role as a significant inventor in the industry. His work continues to influence advancements in object recognition and noise removal methods.

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