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For the Inventor, By the Inventor

Kawasaki, Japan

Eiji Kitagawa

USPTO Granted Patents = 14 

 

Average Co-Inventor Count = 2.6

ph-index = 3

Forward Citations = 209(Granted Patents)


Location History:

  • Kawasaki, JP (2009 - 2021)
  • Akashi, JP (2022)

Company Filing History:

goldMedal14 out of 39,244 
 
Fujitsu Corporation
 patents

Years Active: 2009-2022

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14 patents (USPTO):Explore Patents
1. 11503393 - Storage medium, road surface condition estimation method, and information processing apparatus (2022-11-15),
2. 11449770 - Action selection learning device, action selection learning method, and storage medium (2022-09-20),
3. 10922962 - Congestion management apparatus and congestion management method (2021-02-16),
4. 8930173 - Vehicle behavior estimation device (2015-01-06),
5. 8849625 - Distributed process simulator (2014-09-30),
6. 8682524 - View control system and view control method (2014-03-25),
7. 8423279 - Drive assist apparatus, method, and recording medium (2013-04-16),
8. 8280706 - Distributed processing-type simulator (2012-10-02),
9. 8265861 - Driving assist system and vehicle-mounted apparatus (2012-09-11),
10. 7756897 - Topic net generation method and apparatus (2010-07-13),
11. 7742924 - System and method for updating information for various dialog modalities in a dialog scenario according to a semantic context (2010-06-22),
12. 7725317 - Interactive control system and method (2010-05-25),
13. 7555446 - Needs-information architecting method, needs-information architecting device, and needs-information architecting program and recording medium on which it is recorded (2009-06-30),
14. 7487038 - Navigation device (2009-02-03),

Title: Eiji Kitagawa: Innovator in Sound Data Processing and Action Selection Learning

Introduction

Eiji Kitagawa is a prominent inventor based in Kawasaki, Japan. He has made significant contributions to the fields of sound data processing and action selection learning, holding a total of 14 patents. His innovative work has the potential to enhance various technologies, particularly in vehicle safety and user interaction.

Latest Patents

Among his latest patents, Kitagawa has developed a storage medium and a road surface condition estimation method. This invention involves a non-transitory computer-readable storage medium that stores a program designed to process sound data collected from microphones positioned near a vehicle's front and rear wheels. The program detects cavities under the road surface based on the differences in sound data, which can improve vehicle safety by alerting drivers to potential hazards.

Another notable patent is an action selection learning device, which includes a memory and a processor. This device generates a reference model to calculate selection probabilities for various action alternatives. It utilizes a user's selection history to tailor action alternatives, enhancing user experience and decision-making processes.

Career Highlights

Eiji Kitagawa has worked with notable companies such as Fujitsu Corporation and Fujitsu Limited. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking technologies.

Collaborations

Throughout his career, Kitagawa has collaborated with talented individuals, including Takuro Ikeda and Toshiyuki Fukuoka. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.

Conclusion

Eiji Kitagawa's work exemplifies the spirit of innovation in technology, particularly in sound data processing and action selection learning. His contributions continue to influence advancements in vehicle safety and user interaction, showcasing the importance of inventive minds in shaping the future.

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