Patents by Inventor Alex Castro

Alex Castro 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).

  • Remote assist feedback system for autonomous vehicles
    Patent number: 10501014
    Abstract: An interaction feedback system for passengers of an autonomous vehicle (AV) can detect a remote assist trigger, corresponding to a remote assist event, from a control system of the AV. The feedback system can then initiate a feedback mode using one or more feedback devices to enable interaction between one or more passengers of the AV and a remote operator based on detecting the remote assist trigger from the AV control system.
    Type: Grant
    Filed: March 12, 2018
    Date of Patent: December 10, 2019
    Assignee: UATC, LLC
    Inventors: Alex Castro, Molly Nix, Scott Poeppel, Sean Chin, Eric Hanson, Dennis Zhao
  • REMOTE ASSIST FEEDBACK SYSTEM FOR AUTONOMOUS VEHICLES
    Publication number: 20190270408
    Abstract: An interaction feedback system for passengers of an autonomous vehicle (AV) can detect a remote assist trigger, corresponding to a remote assist event, from a control system of the AV. The feedback system can then initiate a feedback mode using one or more feedback devices to enable interaction between one or more passengers of the AV and a remote operator based on detecting the remote assist trigger from the AV control system.
    Type: Application
    Filed: March 12, 2018
    Publication date: September 5, 2019
    Inventors: Alex Castro, Molly Nix, Scott Poeppel, Sean Chin, Eric Hanson, Dennis Zhao
  • HANDHELD COMPUTER SYSTEMS AND TECHNIQUES FOR CHARACTER AND COMMAND RECOGNITION RELATED TO HUMAN MOVEMENTS
    Publication number: 20160018902
    Abstract: Systems and methods for human hand gesture recognition through a training mode and a recognition mode are disclosed. In the training mode, a user can move a handheld device with a hand gesture intended to represent a command. Sensors within the handheld device can record raw data, which can be processed to obtain a set of values corresponding to a set of discrete features, which is stored in a database and associated with the intended command. The process is repeated for various hand gestures representing different commands. In the recognition mode, the user can move the handheld device with a hand gesture. A computer system can compare a set of values corresponding to a set of discrete features derived from the hand gesture with the sets of values stored in the database, select a command with the closest match and displays and/or executes the command.
    Type: Application
    Filed: September 25, 2015
    Publication date: January 21, 2016
    Inventors: Steve Nasiri, David Sachs, Alex Castro, Richard Li, Anjia Gu, Shang-Hung Lin, Takashi Nakayami
  • Handheld computer systems and techniques for character and command recognition related to human movements
    Patent number: 9174123
    Abstract: Systems and methods for human hand gesture recognition through a training mode and a recognition mode are disclosed. In the training mode, a user can move a handheld device with a hand gesture intended to represent a command. Sensors within the handheld device can record raw data, which can be processed to obtain a set of values corresponding to a set of discrete features, which is stored in a database and associated with the intended command. The process is repeated for various hand gestures representing different commands. In the recognition mode, the user can move the handheld device with a hand gesture. A computer system can compare a set of values corresponding to a set of discrete features derived from the hand gesture with the sets of values stored in the database, select a command with the closest match and displays and/or executes the command.
    Type: Grant
    Filed: July 8, 2010
    Date of Patent: November 3, 2015
    Assignee: INVENSENSE, INC.
    Inventors: Steve Nasiri, David Sachs, Alex Castro, Richard Li, Anjia Gu, Shang-Hung Lin, Takashi Nakayama
  • Handheld computer systems and techniques for character and command recognition related to human movements
    Patent number: 9144735
    Abstract: Systems and methods for human hand gesture recognition through a training mode and a recognition mode are disclosed. In the training mode, a user can move a handheld device with a hand gesture intended to represent a command. Sensors within the handheld device can record raw data, which can be processed to obtain a set of values corresponding to a set of discrete features, which is stored in a database and associated with the intended command. The process is repeated for various hand gestures representing different commands. In the recognition mode, the user can move the handheld device with a hand gesture. A computer system can compare a set of values corresponding to a set of discrete features derived from the hand gesture with the sets of values stored in the database, select a command with the closest match and displays and/or executes the command.
    Type: Grant
    Filed: July 8, 2010
    Date of Patent: September 29, 2015
    Assignee: INVENSENSE, INC.
    Inventors: Steve Nasiri, David Sachs, Alex Castro, Richard Li, Anjia Gu, Shang-Hung Lin, Takashi Nakayama
  • HANDHELD COMPUTER SYSTEMS AND TECHNIQUES FOR CHARACTER AND COMMAND RECOGNITION RELATED TO HUMAN MOVEMENTS
    Publication number: 20120007713
    Abstract: Systems and methods for human hand gesture recognition through a training mode and a recognition mode are disclosed. In the training mode, a user can move a handheld device with a hand gesture intended to represent a command. Sensors within the handheld device can record raw data, which can be processed to obtain a set of values corresponding to a set of discrete features, which is stored in a database and associated with the intended command. The process is repeated for various hand gestures representing different commands. In the recognition mode, the user can move the handheld device with a hand gesture. A computer system can compare a set of values corresponding to a set of discrete features derived from the hand gesture with the sets of values stored in the database, select a command with the closest match and displays and/or executes the command.
    Type: Application
    Filed: July 8, 2010
    Publication date: January 12, 2012
    Applicant: INVENSENSE, INC.
    Inventors: Steve Nasiri, David Sachs, Alex Castro, Richard Li, Anjia Gu, Shang-Hung Lin, Takashi Nakayami