Patents by Inventor Shandeepa Wickramasinghe

Shandeepa Wickramasinghe 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).

  • Determining localization from ordinal comparison data
    Patent number: 11356805
    Abstract: A method for determining location of a target within an indoor environment, including the steps of: classifying a set of anchors having known locations within the indoor environment and a set of targets having unknown locations within the indoor environment, wherein each of the anchors and targets comprise hardware having sensors and wireless communication capabilities; creating a set of ordinal pair data sets comprising relative distances between each target and all anchors; ranking and aggregating the ordinal pair data sets to produce a set of dissimilarities that approximate distances; transforming the dissimilarities into estimated distances between each anchor and target using the known distances between the anchors as calibration; and inferring location of targets by formulating and solving a multidimensional unfolding optimization.
    Type: Grant
    Filed: September 3, 2019
    Date of Patent: June 7, 2022
    Assignee: CLARKSON UNIVERSITY
    Inventors: Mahesh K. Banavar, Jie Sun, Shandeepa Wickramasinghe
  • Determining Localization from Ordinal Comparison Data
    Publication number: 20200228926
    Abstract: A method for determining location of a target within an indoor environment, including the steps of: classifying a set of anchors having known locations within the indoor environment and a set of targets having unknown locations within the indoor environment, wherein each of the anchors and targets comprise hardware having sensors and wireless communication capabilities; creating a set of ordinal pair data sets comprising relative distances between each target and all anchors; ranking and aggregating the ordinal pair data sets to produce a set of dissimilarities that approximate distances; transforming the dissimilarities into estimated distances between each anchor and target using the known distances between the anchors as calibration; and inferring location of targets by formulating and solving a multidimensional unfolding optimization.
    Type: Application
    Filed: September 3, 2019
    Publication date: July 16, 2020
    Applicant: CLARKSON UNIVERSITY
    Inventors: Mahesh K. Banavar, Jie Sun, Shandeepa Wickramasinghe