Patents by Inventor Valerie Nina Chadha

Valerie Nina Chadha 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: 20230082138
    Abstract: Systems and methods for evaluating and deploying fleets of autonomous in operational domains are described. A computing system may obtain data indicative of one or more capabilities of at least one autonomous vehicle, data indicative of vehicle service dynamics in an operational domain over a period of time, and determining a plurality of resource performance parameters respectively for a plurality of autonomous vehicle fleets associated with potential deployment in the operational domain. Each autonomous vehicle fleet can be associated with a different number of autonomous vehicles The resource performance parameter for each autonomous vehicle fleet can be based at least in part on the one or more capabilities of the at least one autonomous vehicle and the vehicle service dynamics in the operational domain. The computing system can initiate an action associated with the operational domain based at least in part on the plurality of resource performance parameters.
    Type: Application
    Filed: November 17, 2022
    Publication date: March 16, 2023
    Inventors: Valerie Nina Chadha, Ye Yuan, Neil Stegall, Brent Justin Goldman, Kane Sweeney, Rei Chiang
  • Patent number: 11507111
    Abstract: Systems and methods for evaluating and deploying fleets of autonomous in operational domains are described. A computing system may obtain data indicative of one or more capabilities of at least one autonomous vehicle, data indicative of vehicle service dynamics in an operational domain over a period of time, and determining a plurality of resource performance parameters respectively for a plurality of autonomous vehicle fleets associated with potential deployment in the operational domain. Each autonomous vehicle fleet can be associated with a different number of autonomous vehicles The resource performance parameter for each autonomous vehicle fleet can be based at least in part on the one or more capabilities of the at least one autonomous vehicle and the vehicle service dynamics in the operational domain. The computing system can initiate an action associated with the operational domain based at least in part on the plurality of resource performance parameters.
    Type: Grant
    Filed: June 19, 2019
    Date of Patent: November 22, 2022
    Assignee: Uber Technologies, Inc.
    Inventors: Valerie Nina Chadha, Ye Yuan, Neil Stegall, Brent Justin Goldman, Kane Sweeney, Rei Chiang
  • Publication number: 20200201326
    Abstract: The present disclosure is directed to configuring and instructing autonomous vehicles. In particular, one or more computing devices can receive, from a plurality of different autonomous vehicles, data describing travel completed by the plurality of different autonomous vehicles within a geographic area. The computing device(s) can also receive data indicating one or more model parameters for the geographic area. Based at least in part on the data describing the travel and the data indicating the model parameter(s), the computing device(s) can generate one or more models indicating one or more effects of the plurality of different autonomous vehicles on a transportation market for the geographic area. Based at least in part on the model(s), the computing device(s) can generate data indicating instructions for at least one autonomous vehicle of the plurality of different autonomous vehicles and can communicate such data to the at least one autonomous vehicle.
    Type: Application
    Filed: June 11, 2019
    Publication date: June 25, 2020
    Inventors: Valerie Nina Chadha, Rei Chiang, Brent Justin Goldman, Arvind Srinivasan, Neil Stegall, Wei Wang, Ye Yuan
  • Publication number: 20200133306
    Abstract: Systems and methods for evaluating and deploying fleets of autonomous in operational domains are described. A computing system may obtain data indicative of one or more capabilities of at least one autonomous vehicle, data indicative of vehicle service dynamics in an operational domain over a period of time, and determining a plurality of resource performance parameters respectively for a plurality of autonomous vehicle fleets associated with potential deployment in the operational domain. Each autonomous vehicle fleet can be associated with a different number of autonomous vehicles The resource performance parameter for each autonomous vehicle fleet can be based at least in part on the one or more capabilities of the at least one autonomous vehicle and the vehicle service dynamics in the operational domain. The computing system can initiate an action associated with the operational domain based at least in part on the plurality of resource performance parameters.
    Type: Application
    Filed: June 19, 2019
    Publication date: April 30, 2020
    Inventors: Valerie Nina Chadha, Ye Yuan, Neil Stegall, Brent Justin Goldman, Kane Sweeney, Rei Chiang
  • Publication number: 20200116515
    Abstract: Systems and methods for determining autonomous vehicle operational domains improve vehicle data usage are provided. In one example embodiment, a computing system can obtain data indicative of a capability of an autonomous vehicle. The computing system can identify one or more a plurality of operational domains. The computing system can determine, for each of the operational domain(s), a respective level of addressability associated with the respective operational domain based at least in part on the capability of the autonomous vehicle. The computing system can provide an output based at least in part on the levels of addressability associated with the operational domain(s).
    Type: Application
    Filed: October 14, 2019
    Publication date: April 16, 2020
    Inventors: Valerie Nina Chadha, Ye Yuan, Andrew Raymond Sturges, Neil Stegall, Brent Justin Goldman, Rei Chiang, Arvind Srinivasan, Yifan Liu