Takuya Nanri

USPTO Granted Patents = 25 (Patent Applications = 4)

CIPO Patents = 2 (Patent Applications = 6)

EPO Patents = 12 (Patent Applications = 5)

Average Co-Inventor Count = 2.8

ph-index = 2

Forward Citations = 27(Granted Patents)

Company Filing History:

13 out of 13,395

Nissan Motor Company Limited

patents

6 out of 16,453

Panasonic Corporation

patents

6 out of 13,247

Panasonic Intellectual Property Management Co., Ltd.

where one patent can have more than one assignee

Years Active: 2014-2024

Loading Chart...

25 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12128888 - Behavior prediction method and behavior prediction device for mobile unit, and vehicle (2024-10-29),

2. 12115999 - Method for predicting behavior of other vehicle, device for predicting behavior of other vehicle, and driving assistance method (2024-10-15),

3. 11447130 - Behavior prediction method, behavior prediction apparatus and vehicle control apparatus (2022-09-20),

4. 11433894 - Driving assistance method and driving assistance device (2022-09-06),

5. 11321572 - Self-position estimation method and self-position estimation device (2022-05-03),

6. 11302197 - Vehicle behavior prediction method and vehicle behavior prediction device (2022-04-12),

7. 11243080 - Self-position estimation method and self-position estimation device (2022-02-08),

8. 11069242 - Traveling assistance method of traveling assistance device and traveling assistance device (2021-07-20),

9. 10994730 - Traveling assistance method and traveling assistance device (2021-05-04),

10. 10766492 - Driving assistance method and driving assistance device (2020-09-08),

11. 10625746 - Self-position estimation method and self-position estimation device (2020-04-21),

12. 10339394 - Step detection device and step detection method (2019-07-02),

13. 10269127 - Object detecting method and object detecting device (2019-04-23),

14. 10009594 - Stereo image processing device and stereo image processing method (2018-06-26),

15. 9338434 - Parallax calculation method and parallax calculation device (2016-05-10),

Title: Innovations of Takuya Nanri: Pioneering Behavior Prediction Technologies

Introduction: Takuya Nanri, a prominent inventor based in Kanagawa, Japan, has made significant contributions to the field of behavior prediction technologies. With a total of 25 patents, he has developed advanced methods that enhance vehicle safety and efficiency.

Latest Patents: Among his most recent innovations are a behavior prediction method and device for mobile units and vehicles. These patents outline a sophisticated system that determines the position of a host vehicle and another vehicle in an opposite lane. By detecting intersecting passageways and analyzing the positions of vehicles, Nanri’s inventions predict the likelihood of a mobile unit entering the first travel lane. In addition, his method for predicting the behavior of other vehicles involves tracking travel paths, identifying intersections, and calculating interaction probabilities between vehicles, ensuring enhanced support for driving assistance systems.

Career Highlights: Takuya Nanri has garnered extensive experience in the automotive and electronics sectors, having worked with renowned companies such as Nissan Motor Company Limited and Panasonic Corporation. His work in these organizations has been pivotal in developing cutting-edge technologies that contribute to safer driving experiences.

Collaborations: Throughout his career, Nanri has collaborated with industry experts, including coworkers Hirofumi Nishimura and Fang Fang. Their combined expertise has spurred innovation and the successful development of patents that address modern vehicular challenges.

Conclusion: Takuya Nanri stands out as an influential inventor in the realm of behavior prediction technologies. With a host of patents to his name, his work not only enhances vehicle safety but also advances the broader field of autonomous driving. His continued contributions promise to shape the future of automotive innovation significantly.

This text is generated by artificial intelligence and may not be accurate.