Yi-Ming Chan

Title: Yi-Ming Chan: Innovator in Pedestrian and Cyclist Detection Technologies

Introduction

Yi-Ming Chan is a notable inventor based in Taoyuan County, Taiwan. He has made significant contributions to the field of pedestrian and cyclist detection technologies. With a total of 4 patents to his name, Chan's work focuses on enhancing safety measures in urban environments.

Latest Patents

One of Chan's latest innovations is a pedestrian detecting system. This system includes a depth capturing unit, an image capturing unit, and a composite processing unit. The depth capturing unit detects and obtains spatial information of a target object. The image capturing unit captures an image of the target object and recognizes it, thereby obtaining image feature information. The composite processing unit is connected to both the depth and image capturing units. It receives spatial information and image feature information to perform a scoring scheme that determines if the target object is a pedestrian. The scoring scheme applies weighted scoring on spatial confidence and appearance confidence to derive a composite scoring value.

Another significant patent is a vision-based pedestrian and cyclist detection method. This method involves receiving an input image and calculating pixel value differences between each pixel and its neighboring pixels. The pixel value differences are quantified as weights, and statistics are performed on these differences and weights. The method determines intersections of the statistics as features of the input image, classifying them into human and non-human features. It confirms human features belonging to cyclists based on their spatial relationship with detected two-wheeled vehicles, retaining one detection result for each cyclist by suppressing weaker spatial relationships.

Career Highlights

Chan has worked with esteemed organizations such as the National Chung Shan Institute of Science and Technology and the Chung-Shan Institute of Science and Technology, Armaments, Bureau, Ministry of National Defense. His experience in these institutions has contributed to his expertise in developing advanced detection technologies.

Collaborations

Some of Chan's notable coworkers include Li-Chen Fu and Pei-Yung Hsiao. Their collaboration has likely played a role in the development of innovative solutions in the field.

Conclusion

Yi-Ming Chan's contributions to pedestrian and cyclist detection technologies demonstrate his commitment to enhancing safety in urban environments. His innovative patents reflect a deep understanding of the challenges faced in this area and provide valuable solutions.