Patents by Inventor Jinzhu Bai

Jinzhu Bai 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: 20240171939
    Abstract: A method and system of resilient UWB target localization for a vehicle are provided. The system comprises a UWB tag arranged to be mobile and trackable by way of a sensor signal and at least three UWB anchors. Each anchor is in communication with the tag. The system further comprises a gateway in communication with the anchors. The gateway comprises an ECU arranged to receive sensor signals from UWB anchors. The ECU comprises a preprocessing module, a clustering module, and a Bayesian module. The preprocessing module is arranged to align sensor signals at an aligned timestamp to define aligned data. The clustering module is arranged to cluster points of intersections, defining a sensed location for each cluster. The Bayesian module is arranged to determine a real-time location of the tag based on a Bayesian probability function to match the sensed location with a predicted location of the tag.
    Type: Application
    Filed: October 26, 2022
    Publication date: May 23, 2024
    Inventors: Jinzhu Chen, Zijun Han, Aaron Adler, John Sergakis, Fan Bai
  • Publication number: 20240172164
    Abstract: Systems and methods for diagnosing sensor performance of a UWB sensor localization are provided. The system comprises a UWB tag, at least four UWB anchors, and a gateway. The gateway comprises an ECU arranged to receive sensor signals from the UWB anchors. The ECU comprises a preprocessing module arranged to align the sensor signals defining aligned data and is arranged to determine intersections of the aligned data defining points of intersections. The system further comprises a clustering module arranged to cluster the points of intersections defining at least one cluster of points of the UWB anchors to calculate a clustering quality and a clustering variance of each of the at least one cluster. The ECU is arranged to find a clustering contribution of each anchor defining a first contribution low of one of the anchors and is arranged to determine an erratic anchor based the first contribution low.
    Type: Application
    Filed: October 26, 2022
    Publication date: May 23, 2024
    Inventors: Jinzhu Chen, Zijun Han, Fan Bai, Aaron Adler, John Sergakis
  • Publication number: 20240151805
    Abstract: Systems and methods of diagnosing sensor performance of an ultra wide band (UWB) sensor localization for a vehicle are provided. The method comprises receiving sensor signals from at least four UWB anchors and a UWB tag for a time period. The sensor signals represent anchor coordinates and real-time distances between the tag and each anchor. The method comprises aligning the sensor signals to define aligned data. The method comprises calculating a predicted location of the UWB tag based on the aligned data and a least square of error to define a first constructed matrix and a second constructed matrix. The method comprises determining a local error of each of the at least four UWB anchors based on the least square of error and comparing each local error with an error threshold to define a first threshold high. The method comprises determining an erratic anchor based on the first threshold high.
    Type: Application
    Filed: October 26, 2022
    Publication date: May 9, 2024
    Inventors: Jinzhu Chen, Zijun Han, Fan Bai, Aaron Adler, John Sergakis
  • Patent number: 8755903
    Abstract: The present invention discloses a functional electrical stimulation system comprising a primary power, a boost module, an energy storage section, an output control relay, an automatic discharge circuit, a foot/hand controlled switch, a current detection chip and a current limiting fuse. The boost module comprises n DC chopper circuits connected in series, and outputs a high voltage of 100-200V. According to an enable signal and a current detection signal, the output control relay disables/enables the DC boost module. The automatic discharge circuit discharges capacitance of the energy storage section automatically when the relay turns off the power input. The Foot/hand controlled switch, the current detection chip and the current limiting fuse form a triple accident protection circuit. The functional electrical stimulation system maximizes the intensity of electrical stimulation within the range that the human body can withstand.
    Type: Grant
    Filed: June 28, 2011
    Date of Patent: June 17, 2014
    Assignee: Institute of Automation, Chinese Academy of Sciences
    Inventors: Zengguang Hou, Min Tan, Yixiong Chen, Pengfeng Li, Hongbo Wang, Long Cheng, Guoqing Hu, Qingling Li, Feng Zhang, Jin Hu, Xinchao Zhang, Yi Hong, Junwei Zhang, Jinzhu Bai, Zhen Lv
  • Publication number: 20130231724
    Abstract: The present invention discloses a functional electrical stimulation system comprising a primary power, a boost module, an energy storage section, an output control relay, an automatic discharge circuit, a foot/hand controlled switch, a current detection chip and a current limiting fuse. The boost module comprises n DC chopper circuits connected in series, and outputs a high voltage of 100-200V. According to an enable signal and a current detection signal, the output control relay disables/enables the DC boost module. The automatic discharge circuit discharges capacitance of the energy storage section automatically when the relay turns off the power input. The Foot/hand controlled switch, the current detection chip and the current limiting fuse form a triple accident protection circuit. The functional electrical stimulation system maximizes the intensity of electrical stimulation within the range that the human body can withstand.
    Type: Application
    Filed: June 28, 2011
    Publication date: September 5, 2013
    Inventors: Zengguang Hou, Min Tan, Yixiong Chen, Pengfeng Li, Hongbo Wang, Long Cheng, Guoqing Hu, Qingling Li, Feng Zhang, Jin Hu, Xinchao Zhang, Yi Hong, Junwei Zhang, Jinzhu Bai, Zhen Lv