Patents by Inventor Jason Creadore

Jason Creadore 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).

  • Real time machine vision and point-cloud analysis for remote sensing and vehicle control
    Patent number: 10549768
    Abstract: Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.
    Type: Grant
    Filed: October 23, 2017
    Date of Patent: February 4, 2020
    Assignee: SOLFICE RESEARCH, INC.
    Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim, Anuj Gupta, Scott Harvey, Jason Creadore, Graham Mills
  • Real Time Machine Vision and Point-Cloud Analysis For Remote Sensing and Vehicle Control
    Publication number: 20180057030
    Abstract: Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.
    Type: Application
    Filed: October 23, 2017
    Publication date: March 1, 2018
    Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim, Anuj Gupta, Scott Harvey, Jason Creadore, Graham Mills
  • Real time machine vision and point-cloud analysis for remote sensing and vehicle control
    Patent number: 9796400
    Abstract: Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.
    Type: Grant
    Filed: January 20, 2016
    Date of Patent: October 24, 2017
    Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim, Anuj Gupta, Scott Harvey, Jason Creadore, Graham Mills
  • Real Time Machine Vision and Point-Cloud Analysis For Remote Sensing and Vehicle Control
    Publication number: 20160221592
    Abstract: Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.
    Type: Application
    Filed: January 20, 2016
    Publication date: August 4, 2016
    Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim, Anuj Gupta, Scott Harvey, Jason Creadore, Graham Mills