Patents by Inventor Alexander Kleeman

Alexander Kleeman 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).

  • Patent number: 11237276
    Abstract: A system and method for generating a set of GNSS corrections using a GNSS corrections model comprising a Gaussian process.
    Type: Grant
    Filed: August 3, 2020
    Date of Patent: February 1, 2022
    Assignee: Swift Navigation, Inc.
    Inventor: Alexander Kleeman
  • Publication number: 20210033735
    Abstract: A system and method for generating a set of GNSS corrections using a GNSS corrections model comprising a Gaussian process.
    Type: Application
    Filed: August 3, 2020
    Publication date: February 4, 2021
    Inventor: Alexander Kleeman
  • Patent number: 10416351
    Abstract: A method and system for generating probabilistic estimates of precipitation intensity from radar reflectivity measurements is provided. In an embodiment, an agricultural intelligence computer system receives radar reflectivity measurements for a particular location from an external data source. The agricultural intelligence computer system constructs a probability distribution of drop sizes describing the probability that the precipitation included drops of various sizes based on the radar reflectivity measurements. The agricultural intelligence computer system samples a plurality of values from the probability of distribution of drop sizes and uses the plurality of values and the radar reflectivity measurements to compute a plurality of rainfall rates. Based on the plurality of rainfall rates, the agricultural intelligence computer system constructs a probability distribution of rainfall rates for the particular location.
    Type: Grant
    Filed: November 18, 2015
    Date of Patent: September 17, 2019
    Assignee: The Climate Corporation
    Inventors: Alexander Kleeman, Valliappa Lakshmanan, Beth Reid
  • Publication number: 20170075034
    Abstract: A method and system for generating probabilistic estimates of precipitation intensity from radar reflectivity measurements is provided. In an embodiment, an agricultural intelligence computer system receives radar reflectivity measurements for a particular location from an external data source. The agricultural intelligence computer system constructs a probability distribution of drop sizes describing the probability that the precipitation included drops of various sizes based on the radar reflectivity measurements. The agricultural intelligence computer system samples a plurality of values from the probability of distribution of drop sizes and uses the plurality of values and the radar reflectivity measurements to compute a plurality of rainfall rates. Based on the plurality of rainfall rates, the agricultural intelligence computer system constructs a probability distribution of rainfall rates for the particular location.
    Type: Application
    Filed: November 18, 2015
    Publication date: March 16, 2017
    Inventors: Alexander Kleeman, Valliappa Lakshmanan, Beth Reid