Patents by Inventor John Hayes Ludwig

John Hayes Ludwig 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: 20210158707
    Abstract: One embodiment of the present invention discloses a process of providing a report predicting potential risks relating to an operator driving a vehicle using information obtained from various interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud network. After activating interior and exterior sensors mounted on a vehicle operated by a driver for obtaining data relating to external surroundings and internal environment, the data is forwarded to VOC for generating a current fingerprint associated with the driver. The current fingerprint represents current driving status in accordance with the collected real-time data. Upon uploading the current fingerprint to the cloud via a communications network, a historical fingerprint which represents historical driving information associated with the driver is retrieved.
    Type: Application
    Filed: February 2, 2021
    Publication date: May 27, 2021
    Inventors: Richard Chia Tsing Tong, Robert Victor Welland, John Hayes Ludwig, John Palmer Cordell, Samuel James McKelvie
  • Patent number: 10950132
    Abstract: One embodiment of the present invention discloses a process of providing a report predicting potential risks relating to an operator driving a vehicle using information obtained from various interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud network. After activating interior and exterior sensors mounted on a vehicle operated by a driver for obtaining data relating to external surroundings and internal environment, the data is forwarded to VOC for generating a current fingerprint associated with the driver. The current fingerprint represents current driving status in accordance with the collected real-time data. Upon uploading the current fingerprint to the cloud via a communications network, a historical fingerprint which represents historical driving information associated with the driver is retrieved.
    Type: Grant
    Filed: December 22, 2017
    Date of Patent: March 16, 2021
    Assignee: XEVO INC.
    Inventors: Richard Chia Tsing Tong, Robert Victor Welland, John Hayes Ludwig, John Palmer Cordell, Samuel James McKelvie
  • Publication number: 20210021687
    Abstract: One embodiment discloses an automobile having multiple distributed subsystems configured to provide communication via a network system. The automobile includes an outward facing camera (“OFC”) subsystem and a vehicle onboard computer (“VOC”). The OFC subsystem, having at least one OFC, OFC processor, and OFC database, is configured to recognize a predefined exterior object from a set of exterior images captured by the OFC based on an OFC query. The VOC includes a VOC central processing unit, VOC database, and network manager, wherein the network manager includes an internal network circuit and an external network circuit. The internal network circuit is used for communicating with the OFC subsystem while the external network circuit is used to interface with a cloud system. In one aspect, the VOC provides a data stream representing a recognized event in accordance with a query retrieved from the VOC database.
    Type: Application
    Filed: October 1, 2020
    Publication date: January 21, 2021
    Inventors: Richard Chia Tsing Tong, Robert Victor Welland, John Hayes Ludwig, John Palmer Cordell, Samuel James McKelvie
  • Patent number: 10834221
    Abstract: One embodiment discloses an automobile having multiple distributed subsystems configured to provide communication via a network system. The automobile includes an outward facing camera (“OFC”) subsystem and a vehicle onboard computer (“VOC”). The OFC subsystem, having at least one OFC, OFC processor, and OFC database, is configured to recognize a predefined exterior object from a set of exterior images captured by the OFC based on an OFC query. The VOC includes a VOC central processing unit, VOC database, and network manager, wherein the network manager includes an internal network circuit and an external network circuit. The internal network circuit is used for communicating with the OFC subsystem while the external network circuit is used to interface with a cloud system. In one aspect, the VOC provides a data stream representing a recognized event in accordance with a query retrieved from the VOC database.
    Type: Grant
    Filed: March 30, 2018
    Date of Patent: November 10, 2020
    Assignee: XEVO INC.
    Inventors: Richard Chia Tsing Tong, Robert Victor Welland, John Hayes Ludwig, John Palmer Cordell, Samuel James McKelvie
  • Publication number: 20200294403
    Abstract: One embodiment of the present invention predicts a vehicular event relating to machinal performance using information obtained from interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud data. The process of predication is able to activate interior and exterior sensors mounted on a vehicle operated by a driver for obtaining current data relating to external surroundings, interior settings, and internal mechanical conditions of the vehicle. After forwarding the current data to VOC to generate a current vehicle status representing real-time vehicle performance in accordance with the current data, retrieving a historical data associated with the vehicle including mechanical condition is retrieved. In one aspect, a normal condition signal is issued when the current vehicle status does not satisfy with the optimal condition based on the historical data. Alternatively, a race car condition is issued when the current vehicle status meets with the optimal condition.
    Type: Application
    Filed: June 2, 2020
    Publication date: September 17, 2020
    Inventors: Richard Chia Tsing Tong, Robert Victor Welland, John Hayes Ludwig, John Palmer Cordell, Samuel James McKelvie
  • Publication number: 20200226395
    Abstract: A method and/or system is able to improve vehicle safety by determining if an object is embedded in a tire of the vehicle. Audio data is received from a microphone that is positioned to capture sounds of the tire moving on the road. The speed of the vehicle is also obtained, where the speed overlaps the same timeframe of when the sounds of the tire are captured by the microphone. An object is determined to be embedded in the tire based on a frequency analysis of the received audio data relative to the speed of the vehicle. And an alert is output to the driver of the vehicle indicating that the object is embedded in the tire.
    Type: Application
    Filed: March 23, 2020
    Publication date: July 16, 2020
    Inventors: John Palmer Cordell, Robert Victor Welland, Samuel James McKelvie, John Hayes Ludwig
  • Patent number: 10713955
    Abstract: One embodiment of the present invention predicts a vehicular event relating to machinal performance using information obtained from interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud data. The process of predication is able to activate interior and exterior sensors mounted on a vehicle operated by a driver for obtaining current data relating to external surroundings, interior settings, and internal mechanical conditions of the vehicle. After forwarding the current data to VOC to generate a current vehicle status representing real-time vehicle performance in accordance with the current data, retrieving a historical data associated with the vehicle including mechanical condition is retrieved. In one aspect, a normal condition signal is issued when the current vehicle status does not satisfy with the optimal condition based on the historical data. Alternatively, a race car condition is issued when the current vehicle status meets with the optimal condition.
    Type: Grant
    Filed: December 22, 2017
    Date of Patent: July 14, 2020
    Assignee: XEVO INC.
    Inventors: Richard Chia Tsing Tong, Robert Victor Welland, John Hayes Ludwig, John Palmer Cordell, Samuel James McKelvie
  • Publication number: 20200151479
    Abstract: A method and/or system is able to provide driver fingerprint via metadata extraction managed by a driver rating (“DR”) model trained by a machine learning center (“MLC”) coupled to a cloud based network (“CBN”). In one embodiment, a DR system includes a set of outward facing cameras, a set of inward facing cameras, and a vehicle onboard computer (“VOC”). The set of outward facing cameras mounted on a vehicle is used to collect external images representing a surrounding environment in which the vehicle operates. The set of inward facing cameras mounted in the vehicle is used to collect internal images including operator body expression representing at least operator's attention. The VOC is configured to determine the identity of operator and current operating style in response to the collected internal images, the collected external images, and historical stored data.
    Type: Application
    Filed: January 17, 2020
    Publication date: May 14, 2020
    Applicant: Xevo Inc.
    Inventors: John Palmer Cordell, Robert Victor Welland, Samuel James McKelvie, John Hayes Ludwig
  • Publication number: 20200110951
    Abstract: A method or system is able to refine Global Positioning System (“GPS”) information for guiding a vehicle via extracted metadata using a GPS refinement (“GR”) model managed by a virtuous cycle containing sensors, machine learning center (“MLC”), and a cloud based network (“CBN”). The GR system includes a set of outward facing cameras, a vehicle onboard computer (“VOC”), and GR model. The outward facing cameras mounted on a vehicle are capable of collecting external images representing a surrounding environment in which the vehicle operates. The VOC is configured to generate a positional vehicle location with respect to the surrounding environment in accordance with the external images and historical stored data obtained from CBN. The GR model is configured to generate a driving guidance based on combined information between the positional vehicle location and GPS data.
    Type: Application
    Filed: December 9, 2019
    Publication date: April 9, 2020
    Applicant: Xevo Inc.
    Inventors: John Palmer Cordell, Robert Victor Welland, Samuel James McKelvie, John Hayes Ludwig
  • Patent number: 10540557
    Abstract: A method and/or system is able to provide driver fingerprint via metadata extraction managed by a driver rating (“DR”) model trained by a machine learning center (“MLC”) coupled to a cloud based network (“CBN”). In one embodiment, a DR system includes a set of outward facing cameras, a set of inward facing cameras, and a vehicle onboard computer (“VOC”). The set of outward facing cameras mounted on a vehicle is used to collect external images representing a surrounding environment in which the vehicle operates. The set of inward facing cameras mounted in the vehicle is used to collect internal images including operator body expression representing at least operator's attention. The VOC is configured to determine the identity of operator and current operating style in response to the collected internal images, the collected external images, and historical stored data.
    Type: Grant
    Filed: August 9, 2017
    Date of Patent: January 21, 2020
    Assignee: Xevo Inc.
    Inventors: John Palmer Cordell, Robert Victor Welland, Samuel James McKelvie, John Hayes Ludwig
  • Patent number: 10503988
    Abstract: A method or system is able to refine Global Positioning System (“GPS”) information for guiding a vehicle via extracted metadata using a GPS refinement (“GR”) model managed by a virtuous cycle containing sensors, machine learning center (“MLC”), and a cloud based network (“CBN”). The GR system includes a set of outward facing cameras, a vehicle onboard computer (“VOC”), and GR model. The outward facing cameras mounted on a vehicle are capable of collecting external images representing a surrounding environment in which the vehicle operates. The VOC is configured to generate a positional vehicle location with respect to the surrounding environment in accordance with the external images and historical stored data obtained from CBN. The GR model is configured to generate a driving guidance based on combined information between the positional vehicle location and GPS data.
    Type: Grant
    Filed: August 10, 2017
    Date of Patent: December 10, 2019
    Assignee: Xevo Inc.
    Inventors: John Palmer Cordell, Robert Victor Welland, Samuel James McKelvie, John Hayes Ludwig
  • Publication number: 20190370581
    Abstract: A method or system that is able to adjust an exterior mirror of a vehicle via an automatic mirror-setting (“AM”) model managed by a virtuous cycle containing a cloud based network (“CBN”). The system includes a set of mirrors, a set of inward facing cameras, a vehicle onboard computer (“VOC”), and AM module. In one embodiment, the mirrors, attached to a vehicle, are configured to capture at least a portion of the external environment in which the vehicle operates. The inward facing cameras, mounted in the vehicle, are configured to collect internal images, including the operator's facial features showing operator visual characteristics. The VOC, which is coupled to the CBN, is configured to determine operator vision metadata based on the internal images, operator visual characteristics, and historical stored data. The AM module is able to adaptively set a mirror to an optimal orientation so that the area of the external blind spot is minimized.
    Type: Application
    Filed: August 15, 2019
    Publication date: December 5, 2019
    Applicant: Xevo Inc.
    Inventors: John Palmer Cordell, Robert Victor Welland, Samuel James McKelvie, John Hayes Ludwig
  • Patent number: 10186155
    Abstract: One embodiment of the present invention is able to provide an interactive parking management (“IPM”) in accordance with information obtained from interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud data. The process, in one embodiment, is capable of acknowledging a parking activity initiated by a vehicle traveling in a geographic location via a communications network. Upon providing parking information to the vehicle based on the data obtained from the current parking status, historical parking status, and big data for facilitating the parking activity, the movement of the vehicle is monitored in accordance with the current parking status. After recording a physical location where the vehicle is parked and parking duration, a parking invoice is generated in response to information relating to the recorded information such as physical location and parking duration.
    Type: Grant
    Filed: December 22, 2017
    Date of Patent: January 22, 2019
    Assignee: Xevo Inc.
    Inventors: Richard Chia Tsing Tong, Robert Victor Welland, John Hayes Ludwig, John Palmer Cordell, Samuel James McKelvie
  • Publication number: 20180288182
    Abstract: One embodiment discloses an automobile having multiple distributed subsystems configured to provide communication via a network system. The automobile includes an outward facing camera (“OFC”) subsystem and a vehicle onboard computer (“VOC”). The OFC subsystem, having at least one OFC, OFC processor, and OFC database, is configured to recognize a predefined exterior object from a set of exterior images captured by the OFC based on an OFC query. The VOC includes a VOC central processing unit, VOC database, and network manager, wherein the network manager includes an internal network circuit and an external network circuit. The internal network circuit is used for communicating with the OFC subsystem while the external network circuit is used to interface with a cloud system. In one aspect, the VOC provides a data stream representing a recognized event in accordance with a query retrieved from the VOC database.
    Type: Application
    Filed: March 30, 2018
    Publication date: October 4, 2018
    Applicant: Xevo Inc.
    Inventors: Richard Chia Tsing Tong, Robert Victor Welland, John Hayes Ludwig, John Palmer Cordell, Samuel James McKelvie
  • Publication number: 20180204465
    Abstract: One embodiment of the present invention is able to provide an interactive parking management (“IPM”) in accordance with information obtained from interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud data. The process, in one embodiment, is capable of acknowledging a parking activity initiated by a vehicle traveling in a geographic location via a communications network. Upon providing parking information to the vehicle based on the data obtained from the current parking status, historical parking status, and big data for facilitating the parking activity, the movement of the vehicle is monitored in accordance with the current parking status. After recording a physical location where the vehicle is parked and parking duration, a parking invoice is generated in response to information relating to the recorded information such as physical location and parking duration.
    Type: Application
    Filed: December 22, 2017
    Publication date: July 19, 2018
    Applicant: Surround.IO Corporation
    Inventors: Richard Chia Tsing Tong, Robert Victor Welland, John Hayes Ludwig, John Palmer Cordell, Samuel James McKelvie
  • Publication number: 20180182185
    Abstract: One embodiment of the present invention discloses a process of providing a report predicting potential risks relating to an operator driving a vehicle using information obtained from various interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud network. After activating interior and exterior sensors mounted on a vehicle operated by a driver for obtaining data relating to external surroundings and internal environment, the data is forwarded to VOC for generating a current fingerprint associated with the driver. The current fingerprint represents current driving status in accordance with the collected real-time data. Upon uploading the current fingerprint to the cloud via a communications network, a historical fingerprint which represents historical driving information associated with the driver is retrieved.
    Type: Application
    Filed: December 22, 2017
    Publication date: June 28, 2018
    Applicant: Surround.IO Corporation
    Inventors: Richard Chia Tsing Tong, Robert Victor Welland, John Hayes Ludwig, John Palmer Cordell, Samuel James McKelvie
  • Publication number: 20180182187
    Abstract: One embodiment of the present invention predicts a vehicular event relating to machinal performance using information obtained from interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud data. The process of predication is able to activate interior and exterior sensors mounted on a vehicle operated by a driver for obtaining current data relating to external surroundings, interior settings, and internal mechanical conditions of the vehicle. After forwarding the current data to VOC to generate a current vehicle status representing real-time vehicle performance in accordance with the current data, retrieving a historical data associated with the vehicle including mechanical condition is retrieved. In one aspect, a normal condition signal is issued when the current vehicle status does not satisfy with the optimal condition based on the historical data. Alternatively, a race car condition is issued when the current vehicle status meets with the optimal condition.
    Type: Application
    Filed: December 22, 2017
    Publication date: June 28, 2018
    Applicant: Surround . IO Corporation
    Inventors: Richard Chia Tsing Tong, Robert Victor Welland, John Hayes Ludwig, John Palmer Cordell, Samuel James McKelvie
  • Publication number: 20180043829
    Abstract: A method or system is able to adjust an exterior mirror of a vehicle via an automatic mirror-setting (“AM”) model managed by a virtuous cycle containing a cloud based network (“CBN”). The system includes a set of mirrors, a set of inward facing cameras, a vehicle onboard computer (“VOC”), and AM module. In one embodiment, the mirrors, attached to a vehicle, are configured to capture at least a portion of external environment in which the vehicle operates. The inward facing cameras, mounted in the vehicle, are configured to collect internal images including operator facial features showing operator visual characteristics. VOC, which is coupled to CBN, is configured to determine operator vision metadata based on the internal images, operator visual characteristics, and historical stored data. The AM module is able to adaptively set a mirror to an optimal orientation so that area of external blind spot is minimized.
    Type: Application
    Filed: August 9, 2017
    Publication date: February 15, 2018
    Applicant: Surround.IO Corporation
    Inventors: John Palmer Cordell, Robert Victor Welland, Samuel James McKelvie, John Hayes Ludwig
  • Publication number: 20180046869
    Abstract: A method and/or system is able to improve vehicle safety via metadata extraction by an inferred attentional (“IA”) model trained by a virtuous cycle containing sensors, machine learning center (“MLC”), and cloud based network (“CBN”). In one aspect, the system includes a set of outward facing camera, inward facing cameras, and vehicle onboard computer (“VOC”). The outward facing cameras collect external images representing a surrounding environment in which the vehicle operates. The inward facing cameras collect internal images including operator facial expression representing at least operator's attention. The VOC is configured to identify operator's attention in response to the collected internal images and the collected external images.
    Type: Application
    Filed: August 9, 2017
    Publication date: February 15, 2018
    Applicant: Surround.IO Corporation
    Inventors: John Palmer Cordell, Robert Victor Welland, Samuel James McKelvie, John Hayes Ludwig
  • Publication number: 20180046870
    Abstract: A method and/or system is able to provide driver fingerprint via metadata extraction managed by a driver rating (“DR”) model trained by a machine learning center (“MLC”) coupled to a cloud based network (“CBN”). In one embodiment, a DR system includes a set of outward facing cameras, a set of inward facing cameras, and a vehicle onboard computer (“VOC”). The set of outward facing cameras mounted on a vehicle is used to collect external images representing a surrounding environment in which the vehicle operates. The set of inward facing cameras mounted in the vehicle is used to collect internal images including operator body expression representing at least operator's attention. The VOC is configured to determine the identity of operator and current operating style in response to the collected internal images, the collected external images, and historical stored data.
    Type: Application
    Filed: August 9, 2017
    Publication date: February 15, 2018
    Applicant: Surround.IO Corporation
    Inventors: John Palmer Cordell, Robert Victor Welland, Samuel James McKelvie, John Hayes Ludwig