Kaohsiung, Taiwan

Kun-Hsiang Chen


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: **Innovator Spotlight: Kun-Hsiang Chen from Kaohsiung, Taiwan**

Introduction

Kun-Hsiang Chen is a notable inventor based in Kaohsiung, Taiwan. He has made significant contributions to the field of technology with his innovative approach to pathfinding using three-dimensional maps. His advancements in this area have garnered attention and recognition, particularly through his patent, which reflects his expertise and creativity.

Latest Patents

Kun-Hsiang Chen holds a patent for a groundbreaking method titled "Method for searching a path by using a three-dimensional reconstructed map." This invention focuses on efficiently navigating spaces by utilizing 3D point-cloud and material maps. The process involves receiving detailed 3D map information, employing clustering algorithms to identify relevant attributes, and fusing different types of map information to determine obstacle and non-obstacle areas. This innovative approach allows for the generation of accurate 3D path information, essential for applications like drone navigation and robotics.

Career Highlights

Chen is affiliated with National Yang Ming Chiao Tung University, where he has been able to pursue his research interests and develop his inventions further. His work primarily revolves around creating systems that improve navigation accuracy and efficiency, showcasing his commitment to advancing the field of technology.

Collaborations

During his career, Kun-Hsiang Chen has collaborated with esteemed colleagues such as Mang Ou-Yang and Yung-Jhe Yan. These partnerships have played a vital role in enriching his research endeavors, leading to more comprehensive findings and innovative solutions in the realm of 3D navigation.

Conclusion

Kun-Hsiang Chen stands out as an innovative inventor whose work is shaping the future of navigation technologies. His patent reflects a significant stride towards improving the understanding and application of 3D reconstructions in various fields. As he continues to collaborate and innovate, his contributions will undoubtedly leave a lasting impact on technology and pathfinding methodologies.

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