Taipei, Taiwan

Hsueh-Ling Tang


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Hsueh-Ling Tang: Innovator in Pedestrian Detection Technology

Introduction

Hsueh-Ling Tang is a notable inventor based in Taipei, Taiwan. She has made significant contributions to the field of pedestrian detection technology, particularly through her innovative methods that utilize light detection and ranging (LIDAR) systems. Her work aims to enhance the safety and efficiency of pedestrian recognition in various environments.

Latest Patents

Hsueh-Ling Tang holds a patent for a method titled "Method for performing pedestrian detection with aid of light detection and ranging." This method involves obtaining 3-dimensional (3D) point cloud data through LIDAR technology. The process includes ground separation to remove unnecessary ground information, object extraction to identify pedestrian candidates, and 2-dimensional (2D) mapping to create a comprehensive chart. The method also focuses on extracting features from both 3D and 2D data to accurately determine pedestrian locations. This innovation improves pedestrian recognition, especially in challenging conditions such as nighttime or adverse weather.

Career Highlights

Hsueh-Ling Tang is affiliated with the National Chung Shan Institute of Science and Technology, where she continues to advance her research and development in pedestrian detection technologies. Her work is crucial in enhancing the capabilities of LIDAR systems for real-world applications.

Collaborations

Hsueh-Ling Tang has collaborated with notable colleagues, including Kai-Lung Hua and Shih-Che Chien. These partnerships have contributed to the advancement of her research and the successful development of her patented technologies.

Conclusion

Hsueh-Ling Tang's innovative work in pedestrian detection technology showcases her commitment to improving safety and efficiency in urban environments. Her contributions through her patent reflect the potential of LIDAR systems in enhancing pedestrian recognition capabilities.

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