Taoyuan, Taiwan

Feng-Chia Chang


Average Co-Inventor Count = 4.6

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • Kaohsiung, TW (2017 - 2019)
  • Taoyuan, TW (2020 - 2022)

Company Filing History:


Years Active: 2017-2022

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7 patents (USPTO):Explore Patents

Title: Innovations of Feng-Chia Chang

Introduction

Feng-Chia Chang is a notable inventor based in Taoyuan, Taiwan. He has made significant contributions to the field of technology, holding a total of seven patents. His work primarily focuses on methods and devices that enhance vehicle performance and image processing.

Latest Patents

One of his latest patents is the "Surface adaptation method and surface adaptation device thereof." This invention involves a method suitable for vehicles that evaluates longitudinal forces and wheel slips at various sampling points. It determines a maximum longitudinal force and establishes a corresponding wheel slip threshold, enhancing vehicle adaptability to different surfaces.

Another significant patent is the "Image adaptive feature extraction method and application thereof." This method divides an image into multiple blocks and performs feature extraction on each block. By utilizing a support vector machine (SVM) classifier, it calculates block features to form an adaptive feature image. This process improves computational efficiency and reduces pedestrian detection errors by selecting effective feature data before detection calculations.

Career Highlights

Feng-Chia Chang is affiliated with the National Chung Shan Institute of Science and Technology, where he continues to innovate and develop new technologies. His work has garnered attention for its practical applications in both automotive and image processing fields.

Collaborations

He has collaborated with notable coworkers such as Shih-Che Chien and Chien-Hao Hsiao, contributing to various projects and advancements in technology.

Conclusion

Feng-Chia Chang's innovative patents and contributions to technology demonstrate his expertise and commitment to advancing the fields of vehicle adaptability and image processing. His work continues to influence and inspire future developments in these areas.

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