Tokyo, Japan

Yasunori Futatsugi

USPTO Granted Patents = 14 

 

Average Co-Inventor Count = 2.1

ph-index = 2

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2010-2025

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14 patents (USPTO):Explore Patents

Title: Yasunori Futatsugi: Innovator in Object Recognition and Scene Prediction Technologies

Introduction

Yasunori Futatsugi is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the fields of object recognition and dangerous scene prediction technologies. With a total of 14 patents to his name, Futatsugi continues to push the boundaries of innovation in automotive safety.

Latest Patents

Futatsugi's latest patents include an "Object Ranging Apparatus, Method, and Computer Readable Medium." This invention features an object recognition unit that identifies objects in images captured by a vehicle-mounted camera. It employs two distance estimation units to calculate the distance to the recognized object using different methods. The results are combined to provide a more accurate ranging result.

Another notable patent is the "Dangerous Scene Prediction Device, Dangerous Scene Prediction Method, and Dangerous Scene Prediction Program." This device predicts potentially dangerous scenes during vehicle operation. It utilizes a learning model selection and synthesis unit to choose the appropriate model based on real-time driving information, enhancing the vehicle's safety features.

Career Highlights

Yasunori Futatsugi is currently employed at NEC Corporation, where he applies his expertise in developing advanced technologies for vehicle safety. His work has been instrumental in creating systems that improve the reliability and effectiveness of automotive safety measures.

Collaborations

Futatsugi collaborates with talented colleagues, including Yoshihiro Mishima and Atsushi Fukuzato. Together, they contribute to innovative projects that aim to enhance vehicle safety and performance.

Conclusion

Yasunori Futatsugi is a key figure in the realm of automotive innovation, with a focus on object recognition and dangerous scene prediction technologies. His contributions are paving the way for safer driving experiences in the future.

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