Patents by Inventor Ziqiang Jiang

Ziqiang Jiang 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: 20220292311
    Abstract: The present disclosure provides a method for object detection and recognition based on a neural network. The method includes: adding a detection layer following three detection layers of an existing YOLOv5 network model, to construct a new YOLOv5 network model; then, training the new YOLOv5 network model by considering an overlapping area between a predicted box and a ground truth box, a center-to-center distance between the two boxes, and an aspect ratio of the two boxes; and finally, inputting a to-be-detected image into the trained new YOLOv5 network model, outputting a predicted box of an object and probability values corresponding to a class to which the object belongs, and setting a class corresponding to a maximum probability value as a predicted class of the object in the to-be-detected image. This method can quickly and effectively detect multiple classes of objects. Especially, a detection effect for small objects is more ideal.
    Type: Application
    Filed: July 7, 2021
    Publication date: September 15, 2022
    Inventors: Yongduan Song, Shilei Tan, Li Huang, Ziqiang Jiang, Jian Liu, Lihui Tan
  • Publication number: 20220180090
    Abstract: The present disclosure provides a neural network-based visual detection and tracking method of an inspection robot, which includes the following steps of: 1) acquiring environmental images of a dynamic background a movement process of the robot; 2) preprocessing the acquired images; 3) detecting human targets and specific behaviors in the images in the robot body, and saving the sizes, position information and features of the human targets with the specific behaviors; 4) controlling the orientation of a robot gimbal by using a target tracking algorithm to make sure that a specific target is always located at the central positions of the images; and 5) controlling the robot to move along with a tracked object. The neural network-based visual detection and tracking method of an inspection robot in the present disclosure has a quite high adaptive ability, achieves better detection and tracking effects on targets in a dynamic background scene.
    Type: Application
    Filed: June 16, 2021
    Publication date: June 9, 2022
    Inventors: Yongduan Song, Li Huang, Shilei Tan, Junfeng Lai, Huan Liu, Ziqiang Jiang, Jie Zhang, Huan Chen, Jiangyu Wu, Hong Long, Fang Hu, Qin Hu
  • Publication number: 20220171395
    Abstract: A method for obstacle detection and recognition for an intelligent snow sweeping robot is disclosed, comprising: 1) disposing ultrasonic sensors at a front end of the snow sweeping robot to detect distance information from an obstacle ahead; and disposing radar sensors at the front and rear of the snow sweeping robot to detect whether a creature suddenly approaches; 2) processing signals detected by each of the ultrasonic sensors and radar sensors, and calculating a forward distance of the snow sweeping robot; and 3) determining a snow cover extent of a working road, detecting a change of the distance from the obstacles, and recognizing the obstacles for conditions of an ultrasonic ranging variation ratio and a variation of the forward distance of the snow sweeping robot, a change of the signal detected by radar sensors, and a descriptive statistic of the snow cover extent within a specific time period.
    Type: Application
    Filed: July 22, 2021
    Publication date: June 2, 2022
    Applicant: Chongqing University
    Inventors: Yongduan Song, Ziqiang Jiang, Shilei Tan, Junfeng Lai, Huan Liu, Li Huang, Jie Zhang, Huan Chen, Hong Long, Fang Hu, Jiangyu Wu, Qin Hu, Wenqi Li
  • Publication number: 20220152817
    Abstract: The present disclosure discloses a neural network adaptive tracking control method for joint robots, which proposes two schemes: robust adaptive control and neural adaptive control, comprising the following steps: 1) establishing a joint robot system model; 2) establishing a state space expression and an error definition when taking into consideration both the drive failure and actuator saturation of the joint robot system; 3) designing a PID controller and updating algorithms of the joint robot system; and 4) using the designed PID controller and updating algorithms to realize the control of the trajectory motion of the joint robot. The present disclosure may solve the following technical problems at the same time: the drive saturation and coupling effect in the joint system, processing parameter uncertainty and non-parametric uncertainty, execution failure handling during the system operation, compensation for non-vanishing interference, and the like.
    Type: Application
    Filed: March 24, 2021
    Publication date: May 19, 2022
    Inventors: Yongduan SONG, Huan LIU, Junfeng LAI, Ziqiang JIANG, Jie ZHANG, Huan CHEN, Li HUANG, Congyi ZHANG, Yingrui CHEN, Yating YANG, Chunxu REN, Han BAO, Kuilong YANG, Ge SONG, Bowen ZHANG, Hong LONG
  • Patent number: 10622804
    Abstract: The present disclosure relates to a method for preventing a maloperation of differential protection of an optical fiber caused by saturation of a single Current Transformer (CT) of 3/2 connection. By applying a combination of the differential judgment and the sub-CT current judgment, reliable identification of internal and external faults is ensured, and the problem of misjudging of the internal fault as the external fault can be prevented as well.
    Type: Grant
    Filed: November 15, 2016
    Date of Patent: April 14, 2020
    Assignees: XJ GROUP CORPORATION, XJ ELECTRIC CO., LTD., XUCHANG XJ SOFTWARE TECHNOLOGY CO., LTD., STATE GRID CORPORATION OF CHINA
    Inventors: Baowei Li, Chuankun Ni, Wenzheng Li, Xu Li, Ziqiang Jiang, Yanmei Tang, Huizhen Hao, Xin Shi, Jiansong Zhao, Xintao Dong, Yingying Xi, Quanxia Ma, Yantao Qiao, Yu Tang, Liping Meng
  • Publication number: 20170163024
    Abstract: The present disclosure relates to a method for preventing a maloperation of differential protection of an optical fiber caused by saturation of a single Current Transformer (CT) of 3/2 connection. By applying a combination of the differential judgment and the sub-CT current judgment, reliable identification of internal and external faults is ensured, and the problem of misjudging of the internal fault as the external fault can be prevented as well.
    Type: Application
    Filed: November 15, 2016
    Publication date: June 8, 2017
    Inventors: Baowei Li, Chuankun Ni, Wenzheng Li, Xu Li, Ziqiang Jiang, Yanmei Tang, Huizhen Hao, Xin Shi, Jiansong Zhao, Xintao Dong, Yingying Xi, Quanxia Ma, Yantao Qiao, Yu Tang, Liping Meng