Saitama, Japan

Haruya Ara



Average Co-Inventor Count = 2.0

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2008

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2 patents (USPTO):Explore Patents

Title: Haruya Ara: Innovator in Traffic Lane Recognition Systems

Introduction

Haruya Ara is a notable inventor based in Saitama, Japan. He has made significant contributions to the field of vehicle technology, particularly in traffic lane recognition systems. With a total of 2 patents, Ara's work focuses on enhancing vehicle safety and navigation.

Latest Patents

Haruya Ara's latest patents include a traffic lane marking line recognition system for vehicles. This innovative system utilizes an image compositing device that combines images captured at different time points by a camera. The goal is to elongate traffic lane marking lines, such as white lines, in the photographed images. The system detects the brightness of these images and corrects it, ensuring that the brightness is uniform across all images. By achieving equal brightness, the system can accurately recognize traffic lane marking lines. Another patent involves a similar traffic lane marking line recognition system that selects images based on the detected travel speed of the vehicle. This method ensures that the images used for compositing are relevant to the vehicle's speed, allowing for reliable recognition of lane markings.

Career Highlights

Haruya Ara is currently employed at Honda Motor Co., Ltd., where he continues to develop innovative technologies for vehicles. His work has contributed to advancements in automotive safety and efficiency.

Collaborations

Haruya Ara collaborates with Tetsuo Ikeda, a fellow innovator in the field. Together, they work on projects that aim to improve vehicle technology and safety features.

Conclusion

Haruya Ara's contributions to traffic lane recognition systems demonstrate his commitment to enhancing vehicle safety through innovation. His patents reflect a deep understanding of technology and its application in real-world scenarios.

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