Patents by Inventor Sachin Raviram

Sachin Raviram 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: 20240149866
    Abstract: A system for context-oriented auto park assist includes sensor, communication, and vehicle control sub-systems. Each sub-systems has control modules having processors, memories, and input/output (I/O) ports. The I/O ports of the sensor and communication sub-systems are in communication with the vehicle control system. The control modules execute program code portions stored in the memory including a program code portions that generates occupant, environmental, time and location, and vehicle contexts, and a combined context by combining the occupant, environmental, location and time, and vehicle contexts. The system scans a parking area for candidate parking spots by applying the combined context vector as the vehicle is driven through the parking area.
    Type: Application
    Filed: November 9, 2022
    Publication date: May 9, 2024
    Inventors: Arun Adiththan, Md Mhafuzul Islam, Prakash Mohan Peranandam, Sachin Raviram
  • Patent number: 11891083
    Abstract: A system for context-based adaptive virtual experience control in a vehicle is provided. The system includes an output device configured for providing a sensory output to a user of the vehicle and a computerized virtual experience control module configured for controlling the output device based upon a virtual experience mode. The system further includes a computerized context-based adaptive control module configured for monitoring contextual data related to one of the user of the vehicle or operation of the vehicle, monitoring feedback from the user related to one of favor or disfavor related to the virtual experience mode, and utilizing the contextual data and the feedback from the user to selectively, automatically command activation of the virtual experience mode.
    Type: Grant
    Filed: December 7, 2021
    Date of Patent: February 6, 2024
    Assignee: GM Global Technology Operations LLC
    Inventors: Alaa M. Khamis, Neeraj R. Gautama, Jarvis Chau, Jomo Hanley, Kelley J. Kettenbeil, Gina E. Griffith, Scott E. Jackson, Ian Gibbs, Mark T. Gaylord, Maria Alejandra Gonzalez, Nicholis Festa, Nathan Robinson, Ute Winter, Sachin Raviram
  • Publication number: 20230174089
    Abstract: A system for context-based adaptive virtual experience control in a vehicle is provided. The system includes an output device configured for providing a sensory output to a user of the vehicle and a computerized virtual experience control module configured for controlling the output device based upon a virtual experience mode. The system further includes a computerized context-based adaptive control module configured for monitoring contextual data related to one of the user of the vehicle or operation of the vehicle, monitoring feedback from the user related to one of favor or disfavor related to the virtual experience mode, and utilizing the contextual data and the feedback from the user to selectively, automatically command activation of the virtual experience mode.
    Type: Application
    Filed: December 7, 2021
    Publication date: June 8, 2023
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Alaa M. Khamis, Neeraj R. Gautama, Jarvis Chau, Jomo Hanley, Kelley J. Kettenbeil, Gina E. Griffith, Scott E. Jackson, Ian Gibbs, Mark T. Gaylord, Maria Alejandra Gonzalez, Nicholis Festa, Nathan Robinson, Ute Winter, Sachin Raviram
  • Patent number: 10424133
    Abstract: A method and system are provided for generating prognostic information regarding a component in a vehicle. The method includes receiving a first set of data for one or more parameters corresponding to the component. The first set of data is obtained from a degradation signal wirelessly transmitted from the vehicle at a first predetermined frequency. The method further includes executing, at a second predetermined frequency, a set of executable instructions for assessing a condition of the component in response to the first set of data. The method further includes obtaining a second set of data indicative of repair or replacement of the component and adjusting at least one of the first predetermined frequency and the second predetermined frequency responsive to the second set of data.
    Type: Grant
    Filed: June 19, 2017
    Date of Patent: September 24, 2019
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Sachin Raviram, Nathan D. Ampunan
  • Publication number: 20180365911
    Abstract: A method and system are provided for generating prognostic information regarding a component in a vehicle. The method includes receiving a first set of data for one or more parameters corresponding to the component. The first set of data is obtained from a degradation signal wirelessly transmitted from the vehicle at a first predetermined frequency. The method further includes executing, at a second predetermined frequency, a set of executable instructions for assessing a condition of the component in response to the first set of data. The method further includes obtaining a second set of data indicative of repair or replacement of the component and adjusting at least one of the first predetermined frequency and the second predetermined frequency responsive to the second set of data.
    Type: Application
    Filed: June 19, 2017
    Publication date: December 20, 2018
    Inventors: Sachin Raviram, Nathan D. Ampunan
  • Patent number: 8924363
    Abstract: A method for correcting service manual textual inconsistencies. Extracting textual procedures from service documents stored in a memory of a service document storage device. Each term of an extracted textual procedure terminology is compared to a correlating target name terminology for identifying any matching terms by a processor. An overlap similarity is computed as a function of the identified matching terms from the extracted textual procedure terminology and the correlating target name terminology. A determination is made whether the overlap similarity is greater than a predetermined similarity threshold. The service documents are modified to change the extracted textual procedure terminology to the correlating target name terminology in response to the overlap similarity being greater than the predetermined similarity threshold and the extracted textual procedure terminology not exactly matching the correlating target name terminology.
    Type: Grant
    Filed: November 7, 2012
    Date of Patent: December 30, 2014
    Assignee: GM Global Technology Operations LLC
    Inventors: Satnam Singh, Sachin Raviram, Keith D. Armitage, Steven W. Holland, Frederick J. Vondrak, David N. Nowak, David B. Miller
  • Publication number: 20140129528
    Abstract: A method for correcting service manual textual inconsistencies. Extracting textual procedures from service documents stored in a memory of a service document storage device. Each term of an extracted textual procedure terminology is compared to a correlating target name terminology for identifying any matching terms by a processor. An overlap similarity is computed as a function of the identified matching terms from the extracted textual procedure terminology and the correlating target name terminology. A determination is made whether the overlap similarity is greater than a predetermined similarity threshold. The service documents are modified to change the extracted textual procedure terminology to the correlating target name terminology in response to the overlap similarity being greater than the predetermined similarity threshold and the extracted textual procedure terminology not exactly matching the correlating target name terminology.
    Type: Application
    Filed: November 7, 2012
    Publication date: May 8, 2014
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Satnam Singh, Sachin Raviram, Keith D. Armitage, Steven W. Holland, Frederick J. Vondrak, David N. Nowak, David B. Miller