Tokyo, Japan

Takeyuki Sasai

This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignee: Toyota Jidosha Kabushiki Kaisha. Active years: 2022-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Takeyuki Sasai. Retrieved from https://idiyas.com/inventor/takeyuki-sasai

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Tokyo-to, JP (2022)
  • Tokyo, JP (2023)

Company Filing History:


Years Active: 2022-2023

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2 patents (USPTO):Explore Patents

Title: Takeyuki Sasai: Innovator in Machine Learning and Autonomous Vehicles

Introduction

Takeyuki Sasai is a prominent inventor based in Tokyo-to, Japan. He has made significant contributions to the field of machine learning, particularly in applications related to image recognition for autonomous vehicles. With a total of 2 patents, his work is at the forefront of technological advancements in the automotive industry.

Latest Patents

One of Takeyuki Sasai's latest patents involves a machine learning model for image recognition used in autonomous vehicles. This invention includes an information processing device that features a first determination section and a first output section. The first output data is derived from a trained model, which has been trained beforehand, by inputting first input data into the model. The second output data is generated by applying a perturbation of a specified amount to the first input data. The first determination section assesses whether the change amount of the second output data relative to the first output data does not exceed a pre-specified threshold. The first output section then outputs information representing the first input data along with the perturbation amount that meets the threshold criteria.

Another notable patent focuses on the retrieval of video and vehicle behavior for a driving scene described in search text. This retrieval device extracts features corresponding to the search text by inputting it into a pre-trained text feature extraction model. It computes a text distance based on the differences between features extracted from each sentence of a text description associated with vehicle-view videos and vehicle behavior data. The device outputs a prescribed number of pairs of video and vehicle behavior data in sequence, based on the smallest text distance.

Career Highlights

Takeyuki Sasai is currently employed at Toyota Jidosha Kabushiki Kaisha, a leading automotive manufacturer known for its innovative technologies. His work at Toyota has allowed him to contribute to groundbreaking advancements in the field of autonomous driving and machine learning.

Collaborations

Takeyuki collaborates with Shintaro Fukushima, a fellow innovator in the automotive sector. Their combined expertise enhances the development of advanced technologies that drive the future of transportation.

Conclusion

Takeyuki Sasai's contributions to machine learning and autonomous vehicles exemplify the innovative spirit of modern technology. His patents reflect a commitment to enhancing vehicle safety and efficiency through advanced image recognition systems.

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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