Patents by Inventor David Seelig

David Seelig 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: 20230176593
    Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.
    Type: Application
    Filed: January 27, 2023
    Publication date: June 8, 2023
    Inventors: Elon Musk, Kate Park, Nenad Uzunovic, Christopher Coleman Moore, Francis Havlak, Stuart Bowers, Andrej Karpathy, Arvind Ramanandan, Ashima Kapur Sud, Paul Chen, Paril Jain, Alexander Hertzberg, Jason Kong, Li Wang, Oktay Arslan, Nicklas Gustafsson, Charles Shieh, David Seelig
  • Patent number: 11567514
    Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.
    Type: Grant
    Filed: February 11, 2019
    Date of Patent: January 31, 2023
    Assignee: Tesla, Inc.
    Inventors: Elon Musk, Kate Park, Nenad Uzunovic, Christopher Coleman Moore, Francis Havlak, Stuart Bowers, Andrej Karpathy, Arvind Ramanandan, Ashima Kapur Sud, Paul Chen, Paril Jain, Alexander Hertzberg, Jason Kong, Li Wang, Oktay Arslan, Nicklas Gustafsson, Charles Shieh, David Seelig
  • Publication number: 20200257317
    Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.
    Type: Application
    Filed: February 11, 2019
    Publication date: August 13, 2020
    Inventors: Elon Musk, Kate Park, Nenad Uzunovic, Christopher Coleman Moore, Francis Havlak, Stuart Bowers, Andrej Karpathy, Arvind Ramanandan, Ashima Kapur Sud, Paul Chen, Paril Jain, Alexander Hertzberg, Jason Kong, Li Wang, Oktay Arslan, Nicklas Gustafsson, Charles Shieh, David Seelig
  • Patent number: 8145936
    Abstract: A system and method for automatic disaster recovery of a computing appliance including reconstruction of its previous operational state. A configuration bundle that includes configuration data, software revision level and a list of system updates is used to recover the device's operation state. The system and method can also be utilized to recover a not fully functional member of a clustered computing system from the configuration information stored on other members of the cluster.
    Type: Grant
    Filed: November 25, 2008
    Date of Patent: March 27, 2012
    Assignee: McAfee, Inc.
    Inventors: David Seelig, Stephen Czeck
  • Publication number: 20090222690
    Abstract: A system and method for automatic disaster recovery of a computing appliance including reconstruction of its previous operational state. A configuration bundle that includes configuration data, software revision level and a list of system updates is used to recover the device's operation state. The system and method can also be utilized to recover a not fully functional member of a clustered computing system from the configuration information stored on other members of the cluster.
    Type: Application
    Filed: November 25, 2008
    Publication date: September 3, 2009
    Applicant: Secure Computing Corporation
    Inventors: David Seelig, Stephen Czeck
  • Patent number: 6393727
    Abstract: A system for drying wood particles and a method of operation wherein the wood particles are introduced into a dryer and contacted directly with a combustion system exhaust stream. VOC's emitted from the wood particles during drying are recycled to the combustion system for destruction. In one method according to the invention, a portion of the VOC-laden dryer exhaust stream is recycled to the dryer.
    Type: Grant
    Filed: September 29, 2000
    Date of Patent: May 28, 2002
    Assignee: Louisiana-Pacific Corporation
    Inventors: Keith David Seelig, Robert Carl Middlesforf, Wu-Hsiung Ernest Hsu, Jim Evensen