Patents by Inventor Hsueh-Ling Tang

Hsueh-Ling Tang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method for performing pedestrian detection with aid of light detection and ranging
    Patent number: 10769421
    Abstract: A method for performing pedestrian detection with aid of light detection and ranging (LIDAR) is provided. The method includes: obtaining 3-dimensional (3D) point cloud data through the LIDAR; performing ground separation processing on the 3D point cloud data to remove ground information; performing object extraction processing on the 3D point cloud data to obtain 3D point cloud chart that includes pedestrian candidate point cloud group; performing 2-dimensional (2D) mapping processing on the 3D point cloud chart to obtain 2D chart; and extracting 3D feature and 2D feature from the 3D point cloud chart and the 2D chart, respectively, and utilizing the 3D feature and the 2D feature to determine location of the pedestrian. According to the method, image data obtained by the LIDAR may be enhanced, the method may distinguish between pedestrian far away and environment blocks, and pedestrian recognition in nighttime or in bad weather may be improved.
    Type: Grant
    Filed: August 8, 2018
    Date of Patent: September 8, 2020
    Assignee: National Chung-Shan Institute of Science and Technology
    Inventors: Kai-Lung Hua, Shih-Che Chien, Feng-Chia Chang, Hsueh-Ling Tang, Chien-Hao Hsiao, Yu-Sung Hsiao
  • METHOD FOR PERFORMING PEDESTRIAN DETECTION WITH AID OF LIGHT DETECTION AND RANGING
    Publication number: 20190163968
    Abstract: A method for performing pedestrian detection with aid of light detection and ranging (LIDAR) is provided. The method includes: obtaining 3-dimensional (3D) point cloud data through the LIDAR; performing ground separation processing on the 3D point cloud data to remove ground information; performing object extraction processing on the 3D point cloud data to obtain 3D point cloud chart that includes pedestrian candidate point cloud group; performing 2-dimensional (2D) mapping processing on the 3D point cloud chart to obtain 2D chart; and extracting 3D feature and 2D feature from the 3D point cloud chart and the 2D chart, respectively, and utilizing the 3D feature and the 2D feature to determine location of the pedestrian. According to the method, image data obtained by the LIDAR may be enhanced, the method may distinguish between pedestrian far away and environment blocks, and pedestrian recognition in nighttime or in bad weather may be improved.
    Type: Application
    Filed: August 8, 2018
    Publication date: May 30, 2019
    Inventors: Kai-Lung Hua, Shih-Che Chien, Feng-Chia Chang, Hsueh-Ling Tang, Chien-Hao Hsiao, Yu-Sung Hsiao