Patents by Inventor Qingquan LI

Qingquan LI 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).

  • Publication number: 20210209426
    Abstract: Provided are an image fusion classification method and device. The method includes that: a three-dimensional weight matrix of a hyperspectral image is obtained by use of a Support Vector Machine (SVM) classifier (101); superpixel segmentation is performed on the hyperspectral image to obtain K superpixel images, K being a positive integer (102); the three-dimensional weight matrix is regularized by use of a superpixel-image-based segmentation method to obtain a regular matrix (103); and a class that a sample belongs to is determined according to the regular matrix (104).
    Type: Application
    Filed: March 22, 2021
    Publication date: July 8, 2021
    Inventors: Sen JIA, Bin DENG, Jiasong ZHU, Lin DENG, Qingquan LI
  • Patent number: 10931871
    Abstract: A method including: putting a pre-set detection apparatus in a pipeline to be detected, collecting, every pre-set time, movement information about and pipeline image thereof; at each collection moment, calculating, according to movement information collected, first position where detection apparatus is located; calculating, according to pipeline image photographed, second position where detection apparatus is located; determining, according to first position and second position, position where detection apparatus is located so as to position pipeline according to position at each collection moment. By performing position information extraction by means of inertial navigation and video combined positioning algorithm, accurate positioning of pipeline position is realized, so as to accurately position crack inside pipeline according to photographed image and positioned pipeline position.
    Type: Grant
    Filed: November 3, 2017
    Date of Patent: February 23, 2021
    Assignee: SHENZHEN UNIVERSITY
    Inventors: Qingquan Li, Jiasong Zhu, Chisheng Wang, Zhipeng Chen
  • Publication number: 20200400419
    Abstract: A pipeline three-dimensional curve measuring robot and implementation method therefor. The measuring robot includes an electronic bin, sliding rods, wheel bracket, walking wheels arranged on wheel bracket, odometer wheels arranged on sliding rod on one side and encoders; the electronic bin is internally provided with an inertia measurement unit, collection control module and power supply module; when measuring, the measuring robot is controlled to move back and forth in a pipeline collecting measuring data; comparing measured data with three-dimensional curve data at pipeline reference moment to obtain deformation quantity of pipeline three-dimensional curve.
    Type: Application
    Filed: November 28, 2019
    Publication date: December 24, 2020
    Applicant: SHENZHEN UNIVERSITY
    Inventors: Qingquan LI, Zhipeng CHEN, Yu YIN, Xiang CHENG, Jiasong ZHU
  • Patent number: 10755132
    Abstract: A method for extracting a surface deformation feature of an object based on linear scanning three-dimensional point cloud is disclosed comprising: performing data acquisition by using a three-dimensional measurement sensor based on line structured light, and obtaining a three-dimensional point cloud data of a surface of the object after data pre-processing; eliminating influences of abnormal data and textures on extraction of sectional main profiles, to accurately obtain the sectional main profiles of the object; obtaining a binary image based on deformation feature points extracted from sections, in conjunction with a deformation feature knowledge base, and preliminarily positioning a deformation region based on sub-block images to obtain a set of target morphology sub-blocks; then performing a morphological operation on deformation feature points in the set of target morphology sub-blocks, and generating a deformation region of confidence ROC, and then performing a region growth to extract a target using ge
    Type: Grant
    Filed: January 15, 2016
    Date of Patent: August 25, 2020
    Assignee: WUHAN WUDA ZOYON SCIENCE AND TECHNOLOGY CO., LTD
    Inventors: Qingquan Li, Min Cao, Dejin Zhang, Hong Lin, Ying Chen
  • Publication number: 20200177805
    Abstract: A method including: putting a pre-set detection apparatus in a pipeline to be detected, collecting, every pre-set time, movement information about and pipeline image thereof; at each collection moment, calculating, according to movement information collected, first position where detection apparatus is located; calculating, according to pipeline image photographed, second position where detection apparatus is located; determining, according to first position and second position, position where detection apparatus is located so as to position pipeline according to position at each collection moment. By performing position information extraction by means of inertial navigation and video combined positioning algorithm, accurate positioning of pipeline position is realized, so as to accurately position crack inside pipeline according to photographed image and positioned pipeline position.
    Type: Application
    Filed: November 3, 2017
    Publication date: June 4, 2020
    Applicant: SHENZHEN UNIVERSITY
    Inventors: Qingquan LI, Jiasong ZHU, Chisheng WANG, Zhipeng CHEN
  • Patent number: 10571256
    Abstract: A three-dimensional measurement sensor based on line structured light, comprising a sensing head and a controller. The sensing head is used for collecting section data and attitude information of its own, and matching the section data with the self attitude information. The sensing head comprises a three-dimensional camera, an attitude sensor, a laser and a control sub-board, wherein the three-dimensional camera is installed at a certain angle relative to the laser, and acquires elevation and grey information about an object surface corresponding to laser rays using a triangulation principle. The attitude sensor, the three-dimensional camera and the laser are installed on the same rigid plane, and the attitude sensor reflects measurement attitude of the three-dimensional camera and the laser in real time. The controller is used for measuring and controlling the sensing head, performing data processing transmission and supporting external control.
    Type: Grant
    Filed: August 26, 2016
    Date of Patent: February 25, 2020
    Assignee: WUHAN WUDA ZOYON SCIENCE AND TECHNOLOGY CO., LTD
    Inventors: Qingquan Li, Dejin Zhang, Min Cao, Xinlin Wang, Hong Lin
  • Patent number: 10489903
    Abstract: The present invention discloses a stepwise refinement detection method for pavement cracks, processing pavement images comprising the following primary steps: extracting and processing marking lines, extracting ROA, adaptive threshold segmentation based on ROA, extracting ROC and region growth based on ROC direction feature weighting.
    Type: Grant
    Filed: April 27, 2015
    Date of Patent: November 26, 2019
    Assignee: WUHAN WUDA ZOYON SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Qingquan Li, Dejin Zhang, Min Cao, Hong Lin
  • Publication number: 20190234728
    Abstract: A three-dimensional measurement sensor based on line structured light, comprising a sensing head and a controller. The sensing head is used for collecting section data and attitude information of its own, and matching the section data with the self attitude information. The sensing head comprises a three-dimensional camera, an attitude sensor, a laser and a control sub-board, wherein the three-dimensional camera is installed at a certain angle relative to the laser, and acquires elevation and grey information about an object surface corresponding to laser rays using a triangulation principle. The attitude sensor, the three-dimensional camera and the laser are installed on the same rigid plane, and the attitude sensor reflects measurement attitude of the three-dimensional camera and the laser in real time. The controller is used for measuring and controlling the sensing head, performing data processing transmission and supporting external control.
    Type: Application
    Filed: August 26, 2016
    Publication date: August 1, 2019
    Applicant: WUHAN WUDA ZOYON SCIENCE AND TECHNOLOGY CO., LTD
    Inventors: Qingquan LI, Dejin ZHANG, Min CAO, Xinlin WANG, Hong LIN
  • Publication number: 20190197340
    Abstract: A method for extracting a surface deformation feature of an object based on linear scanning three-dimensional point cloud is disclosed comprising: performing data acquisition by using a three-dimensional measurement sensor based on line structured light, and obtaining a three-dimensional point cloud data of a surface of the object after data pre-processing; eliminating influences of abnormal data and textures on extraction of sectional main profiles, to accurately obtain the sectional main profiles of the object; obtaining a binary image based on deformation feature points extracted from sections, in conjunction with a deformation feature knowledge base, and preliminarily positioning a deformation region based on sub-block images to obtain a set of target morphology sub-blocks; then performing a morphological operation on deformation feature points in the set of target morphology sub-blocks, and generating a deformation region of confidence ROC, and then performing a region growth to extract a target using ge
    Type: Application
    Filed: January 25, 2016
    Publication date: June 27, 2019
    Applicant: WUHAN WUDA ZOYON SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Qingquan LI, Min CAO, Dejin ZHANG, Hong LIN, Ying CHEN
  • Publication number: 20180137612
    Abstract: The present invention discloses a stepwise refinement detection method for pavement cracks, processing pavement images comprising the following primary steps: extracting and processing marking lines, extracting ROA, adaptive threshold segmentation based on ROA, extracting ROC and region growth based on ROC direction feature weighting.
    Type: Application
    Filed: April 27, 2015
    Publication date: May 17, 2018
    Inventors: Qingquan LI, Dejin ZHANG, Min CAO, LIN HONG