Patents by Inventor Kaiwen Liao

Kaiwen Liao 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: 20240049928
    Abstract: A cleaning system may have a brush roller that moves dust and debris towards a duct opening for collection. The cleaning system may be an autonomous vacuum robot or include an autonomous vacuum robot. The cleaning system may include guards that reduce the likelihood that fibrous debris wraps around rotating portions of the brush roller (e.g., around a drive pinion). Buffer zones in the brush roller may receive fibrous debris that would otherwise wrap around the brush roller and increase undesirable friction during operation. The brush roller is configured to be unlocked from a position contacting the inner surface of a cleaning head of the cleaning system. The fibrous debris stored in the buffer zones may be suctioned into a debris collection compartment of the cleaning system after the brush roller is unlocked. The cleaning system includes a wedge to seal a cavity for ingesting debris within the cleaning head from the environment.
    Type: Application
    Filed: August 10, 2023
    Publication date: February 15, 2024
    Inventors: Anshuman Kumar, Karthik Chandrashekaraiah, Nathan Elio Madonia, William George Plummer, Tristan Pierre Gervais, Kaiwen Liao, Vishal Jain
  • Patent number: 11669978
    Abstract: The present application provides a method and a device for estimating background motion of infrared image sequences and a storage medium. The method comprises: determining regions to be matched according to the maximum displacement of two adjacent frames of images in background motion, dividing the region to be matched into T sub-regions, and generating M groups of sub-window sets in the sub-regions randomly, and computing the background motion displacement corresponding to these sub-window sets by synchronous mutual information matching, then calculating the background motion displacement between two adjacent frames of images by a potential function voting method according to the background motion displacement corresponding to these sub-window sets. The method in the present application is based on image block matching, and does not depend on feature point extraction, so it has high robustness for background motion estimation of infrared image sequences with few feature points and noise interference.
    Type: Grant
    Filed: September 7, 2020
    Date of Patent: June 6, 2023
    Assignee: SHENZHEN UNIVERSITY
    Inventors: Jihong Pei, Kaiwen Liao, Weixin Xie, Xuan Yang
  • Publication number: 20220332158
    Abstract: Disclosed herein is a towing vehicle, comprising a towing vehicle-defined connection counterpart, and a fixture configured for releasably coupling with the towing vehicle-defined connection counterpart. The towing vehicle-defined connection counterpart is configured for connection to a trailer-defined connection counterpart of a trailer, the trailer further including a guide.
    Type: Application
    Filed: April 19, 2022
    Publication date: October 20, 2022
    Inventors: Brian LAYFIELD, Brian FAN, Andrew CONSTANTINESCU, Mitchell PHILLIPS, Anthony IGHOMUAYE, Abhinav DHAR, Kaiwen LIAO
  • Publication number: 20210358133
    Abstract: The present application provides a method and a device for estimating background motion of infrared image sequences and a storage medium. The method comprises: determining regions to be matched according to the maximum displacement of two adjacent frames of images in background motion, dividing the region to be matched into T sub-regions, and generating M groups of sub-window sets in the sub-regions randomly, and computing the background motion displacement corresponding to these sub-window sets by synchronous mutual information matching, then calculating the background motion displacement between two adjacent frames of images by a potential function voting method according to the background motion displacement corresponding to these sub-window sets. The method in the present application is based on image block matching, and does not depend on feature point extraction, so it has high robustness for background motion estimation of infrared image sequences with few feature points and noise interference.
    Type: Application
    Filed: September 7, 2020
    Publication date: November 18, 2021
    Inventors: Jihong Pei, Kaiwen Liao, Weixin Xie, Xuan Yang