Patents by Inventor Zahra Ghodsi

Zahra Ghodsi 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).

  • Adversarial scenarios for safety testing of autonomous vehicles
    Patent number: 11977386
    Abstract: Techniques to generate driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. Nodes of the path are assigned a time for action to avoid collision from the node. The generated scenarios may be simulated in a computer.
    Type: Grant
    Filed: November 18, 2022
    Date of Patent: May 7, 2024
    Assignee: NVIDIA CORP.
    Inventors: Siva Kumar Sastry Hari, Iuri Frosio, Zahra Ghodsi, Anima Anandkumar, Timothy Tsai, Stephen W. Keckler, Alejandro Troccoli
  • ADVERSARIAL SCENARIOS FOR SAFETY TESTING OF AUTONOMOUS VEHICLES
    Publication number: 20230079196
    Abstract: Techniques to generate driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. Nodes of the path are assigned a time for action to avoid collision from the node. The generated scenarios may be simulated in a computer.
    Type: Application
    Filed: November 18, 2022
    Publication date: March 16, 2023
    Applicant: NVIDIA Corp.
    Inventors: Siva Kumar Sastry Hari, Iuri Frosio, Zahra Ghodsi, Anima Anandkumar, Timothy Tsai, Stephen W. Keckler, Alejandro Troccoli
  • Adversarial scenarios for safety testing of autonomous vehicles
    Patent number: 11550325
    Abstract: Techniques to generate driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. Nodes of the path are assigned a time for action to avoid collision from the node. The generated scenarios may be simulated in a computer.
    Type: Grant
    Filed: June 10, 2020
    Date of Patent: January 10, 2023
    Assignee: NVIDIA CORP.
    Inventors: Siva Kumar Sastry Hari, Iuri Frosio, Zahra Ghodsi, Anima Anandkumar, Timothy Tsai, Stephen W. Keckler, Alejandro Troccoli
  • Tensor-based driving scenario characterization
    Patent number: 11390301
    Abstract: Techniques to characterize driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. The scenarios may be characterized using a tree-based or tensor-based approach.
    Type: Grant
    Filed: June 10, 2020
    Date of Patent: July 19, 2022
    Assignee: NVIDIA Corp.
    Inventors: Siva Kumar Sastry Hari, Iuri Frosio, Zahra Ghodsi, Anima Anandkumar, Timothy Tsai, Stephen W. Keckler
  • ADVERSARIAL SCENARIOS FOR SAFETY TESTING OF AUTONOMOUS VEHICLES
    Publication number: 20210389769
    Abstract: Techniques to generate driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. Nodes of the path are assigned a time for action to avoid collision from the node. The generated scenarios may be simulated in a computer.
    Type: Application
    Filed: June 10, 2020
    Publication date: December 16, 2021
    Applicant: NVIDIA Corp.
    Inventors: Siva Kumar Sastry Hari, Iuri Frosio, Zahra Ghodsi, Anima Anandkumar, Timothy Tsai, Stephen W. Keckler, Alejandro Troccoli
  • TENSOR-BASED DRIVING SCENARIO CHARACTERIZATION
    Publication number: 20210387643
    Abstract: Techniques to characterize driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. The scenarios may be characterized using a tree-based or tensor-based approach.
    Type: Application
    Filed: June 10, 2020
    Publication date: December 16, 2021
    Applicant: NVIDIA Corp.
    Inventors: Siva Kumar Sastry Hari, Iuri Frosio, Zahra Ghodsi, Anima Anandkumar, Timothy Tsai, Stephen W. Keckler