Daisuke Irie

Title: Daisuke Irie: Innovator in Information Processing Technologies

Introduction

Daisuke Irie is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of information processing, particularly in enhancing the identification accuracy of external environments for movable objects. With a total of 2 patents, his work is recognized for its innovative approach to technology.

Latest Patents

One of Daisuke Irie's latest patents is an information processing apparatus and method designed for identifying the exterior environment of a vehicle. This invention aims to enhance identification accuracy by acquiring image data that includes features such as area, date and time, and weather conditions corresponding to the movement scene of the vehicle. The technology employs deep learning techniques to derive inference DNN coefficients, which facilitate accurate identification of the external environment based on methods like semantic segmentation or depth analysis.

Another notable patent is a signal processing device and method that focuses on quality improvement processing. This invention allows for appropriate processing even when the signal characteristics of an input signal differ from those of the student data used during the learning phase. The quality improvement processing unit applies enhancements to the input signal, while a domain conversion unit ensures compatibility by converting the input signal to a suitable format.

Career Highlights

Daisuke Irie is currently associated with Sony Group Corporation, where he continues to innovate and develop cutting-edge technologies. His work at Sony has positioned him as a key player in the advancement of information processing systems.

Collaborations

[This section has been skipped due to space constraints.]

Conclusion

Daisuke Irie's contributions to information processing technologies reflect his commitment to innovation and excellence. His patents demonstrate a forward-thinking approach that enhances the capabilities of movable objects in understanding their external environments.