Patents by Inventor Christopher Lopez-Araiza

Christopher Lopez-Araiza 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: 11255693
    Abstract: Technologies for intelligent traffic optimization include a directional flow server that receives dynamic traffic data from traffic infrastructure devices in a monitored region. The traffic data may include traffic volume data and traffic control status data. The server updates a dynamic layer of a high-definition map based on the dynamic traffic data. The high-definition map also includes a static layer and a directional flow layer. The server optimizes the directional flow in response to updating the dynamic layer. The directional flow layer is indicative of traffic direction associated with roads in the monitored region. The server may optimize each of several sub-regions and then optimize connection roads between the regions. The server may distribute the optimized directional flow layer to consumers such as traffic control devices, autonomous vehicles, and other subscribing devices. Other embodiments are described and claimed.
    Type: Grant
    Filed: March 30, 2019
    Date of Patent: February 22, 2022
    Assignee: Intel Corporation
    Inventors: Mehrnaz Khodam Hazrati, Ignacio Alvarez, Domingo Gonzalez, Christopher Lopez-Araiza
  • Patent number: 10936903
    Abstract: Techniques are disclosed herein for collecting annotation data via a gamified user interface in a vehicle control system. According to an embodiment disclosed herein, the vehicle control system detects a trigger to initiate an annotation prompt associated with an object classified from an image. The vehicle control system presents, via a user interface, the annotation prompt. The vehicle control system receives, via the user interface, user input indicative of a response to the annotation prompt by a user and updates a confidence score associated with the classified object as a function of one or more metrics associated with the user.
    Type: Grant
    Filed: March 30, 2019
    Date of Patent: March 2, 2021
    Assignee: Intel Corporation
    Inventors: Domingo Gonzalez, Ignacio J. Alvarez, Mehrnaz Khodam Hazrati, Christopher Lopez-Araiza
  • Publication number: 20190226868
    Abstract: Technologies for intelligent traffic optimization include a directional flow server that receives dynamic traffic data from traffic infrastructure devices in a monitored region. The traffic data may include traffic volume data and traffic control status data. The server updates a dynamic layer of a high-definition map based on the dynamic traffic data. The high-definition map also includes a static layer and a directional flow layer. The server optimizes the directional flow in response to updating the dynamic layer. The directional flow layer is indicative of traffic direction associated with roads in the monitored region. The server may optimize each of several sub-regions and then optimize connection roads between the regions. The server may distribute the optimized directional flow layer to consumers such as traffic control devices, autonomous vehicles, and other subscribing devices. Other embodiments are described and claimed.
    Type: Application
    Filed: March 30, 2019
    Publication date: July 25, 2019
    Inventors: Mehrnaz Khodam Hazrati, Ignacio J. Alvarez, Domingo C. Gonzalez, Christopher Lopez-Araiza
  • Publication number: 20190228262
    Abstract: Techniques are disclosed herein for collecting annotation data via a gamified user interface in a vehicle control system. According to an embodiment disclosed herein, the vehicle control system detects a trigger to initiate an annotation prompt associated with an object classified from an image. The vehicle control system presents, via a user interface, the annotation prompt. The vehicle control system receives, via the user interface, user input indicative of a response to the annotation prompt by a user and updates a confidence score associated with the classified object as a function of one or more metrics associated with the user.
    Type: Application
    Filed: March 30, 2019
    Publication date: July 25, 2019
    Inventors: Domingo C. Gonzalez, Ignacio J. Alvarez, Mehrnaz Khodam Hazrati, Christopher Lopez-Araiza