Patents by Inventor Audrey Colle

Audrey Colle 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: 10991248
    Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.
    Type: Grant
    Filed: October 14, 2019
    Date of Patent: April 27, 2021
    Assignee: Uber Technologies, Inc.
    Inventors: Laxmikant Agrawal, Sudheer Pratipati, Audrey Colle, Jose De Oliveira, Jeff Couckuyt
  • Publication number: 20200143681
    Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.
    Type: Application
    Filed: October 14, 2019
    Publication date: May 7, 2020
    Inventors: Laxmikant Agrawal, Sudheer Pratipati, Audrey Colle, Jose De Oliveira, Jeff Couckuyt
  • Patent number: 10446028
    Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.
    Type: Grant
    Filed: September 12, 2018
    Date of Patent: October 15, 2019
    Assignee: Uber Technologies, Inc.
    Inventors: Laxmikant Agrawal, Sudheer Pratipati, Audrey Colle, Jose De Oliveira, Jeff Couckuyt
  • Publication number: 20190012914
    Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.
    Type: Application
    Filed: September 12, 2018
    Publication date: January 10, 2019
    Inventors: Laxmikant Agrawal, Sudheer Pratipati, Audrey Colle, Jose De Oliveira, Jeff Couckuyt
  • Patent number: 10115306
    Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.
    Type: Grant
    Filed: August 14, 2017
    Date of Patent: October 30, 2018
    Assignee: Uber Technologies, Inc.
    Inventors: Laxmikant Agrawal, Sudheer Pratipati, Audrey Colle, Jose De Oliveira, Jeff Couckuyt
  • Publication number: 20170345303
    Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.
    Type: Application
    Filed: August 14, 2017
    Publication date: November 30, 2017
    Inventors: Laxmikant Agrawal, Sudheer Pratipati, Audrey Colle, Jose De Oliveira, Jeff Couckuyt
  • Patent number: 9767690
    Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.
    Type: Grant
    Filed: November 19, 2014
    Date of Patent: September 19, 2017
    Assignee: Uber Technologies, Inc.
    Inventors: Laxmikant Agrawal, Sudheer Pratipati, Audrey Colle, Jose De Oliveira, Jeff Couckuyt
  • Publication number: 20160140845
    Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.
    Type: Application
    Filed: November 19, 2014
    Publication date: May 19, 2016
    Inventors: Laxmikant Agrawal, Sudheer Pratipati, Audrey Colle, Jose De Oliveira, Jeff Couckuyt