Yun-Ling Chang

Title: Innovations by Yun-Ling Chang

Introduction

Yun-Ling Chang is a notable inventor based in Changhua Hsien, Taiwan. He has made significant contributions to the field of image processing and object detection, holding a total of 2 patents. His work focuses on enhancing the capabilities of camera systems, particularly in automotive applications.

Latest Patents

One of his latest patents is an object detection method that involves processing point cloud data received from a lidar module. This method includes selecting images from a camera device that correspond in time to the point cloud data, combining these images, and using a trained machine learning model to classify objects within the resulting image. Another significant patent is a method and system for dynamically adjusting camera settings for image enhancement. This method captures multiple images, selects regions of interest, and adjusts brightness and sharpening parameters to improve image quality, which is crucial for advanced driver assistance systems.

Career Highlights

Yun-Ling Chang works at the Automotive Research & Testing Center, where he applies his expertise in image processing to develop innovative solutions for the automotive industry. His work is instrumental in enhancing the safety and functionality of driver assistance technologies.

Collaborations

He collaborates with talented individuals such as Chuan-Ren Li and Li-You Syu, who contribute to the research and development efforts at the center.

Conclusion

Yun-Ling Chang's innovative patents and contributions to image processing technology demonstrate his commitment to advancing automotive safety and efficiency. His work continues to influence the development of cutting-edge driver assistance systems.