Patents by Inventor Zongyi Yang

Zongyi Yang 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).

  • Patent number: 12086208
    Abstract: In various examples, sets of testing data may be selected and applied to an MLM such that differences in performance of the MLM in the testing between the sets indicates and may be used to determine whether and/or an extent by which the MLM is trained to rely on artifacts. Training data for the MLM may be generated using a first value of a parameter that defines a value of a characteristic of the training data. For testing, first testing data may be selected that corresponds to a second value of the parameter that shifts the value in a first direction and second testing data may be selected that corresponds to a third value of the parameter that shifts the value in a second direction (e.g., opposite the first direction). Various possible actions may be taken based on results of analyzing the differences in performance.
    Type: Grant
    Filed: September 21, 2021
    Date of Patent: September 10, 2024
    Assignee: NVIDIA Corporation
    Inventor: Zongyi Yang
  • Publication number: 20240183752
    Abstract: In various examples, sensor data recorded in the real-world may be leveraged to generate transformed, additional, sensor data to test one or more functions of a vehicle—such as a function of an AEB, CMW, LDW, ALC, or ACC system. Sensor data recorded by the sensors may be augmented, transformed, or otherwise updated to represent sensor data corresponding to state information defined by a simulation test profile for testing the vehicle function(s). Once a set of test data has been generated, the test data may be processed by a system of the vehicle to determine the efficacy of the system with respect to any number of test criteria. As a result, a test set including additional or alternative instances of sensor data may be generated from real-world recorded sensor data to test a vehicle in a variety of test scenarios.
    Type: Application
    Filed: February 15, 2024
    Publication date: June 6, 2024
    Inventors: Jesse Hong, Urs Muller, Bernhard Firner, Zongyi Yang, Joyjit Daw, David Nister, Roberto Giuseppe Luca Valenti, Rotem Aviv
  • Patent number: 11927502
    Abstract: In various examples, sensor data recorded in the real-world may be leveraged to generate transformed, additional, sensor data to test one or more functions of a vehicle—such as a function of an AEB, CMW, LDW, ALC, or ACC system. Sensor data recorded by the sensors may be augmented, transformed, or otherwise updated to represent sensor data corresponding to state information defined by a simulation test profile for testing the vehicle function(s). Once a set of test data has been generated, the test data may be processed by a system of the vehicle to determine the efficacy of the system with respect to any number of test criteria. As a result, a test set including additional or alternative instances of sensor data may be generated from real-world recorded sensor data to test a vehicle in a variety of test scenarios—including those that may be too dangerous to test in the real-world.
    Type: Grant
    Filed: April 28, 2020
    Date of Patent: March 12, 2024
    Assignee: NVIDIA Corporation
    Inventors: Jesse Hong, Urs Muller, Bernhard Firner, Zongyi Yang, Joyjit Daw, David Nister, Roberto Giuseppe Luca Valenti, Rotem Aviv
  • Publication number: 20230298361
    Abstract: In various examples, image space coordinates of an image from a video may be labeled, projected to determine 3D vehicle space coordinates, then transformed to 3D world space coordinates using known 3D world space coordinates and relative positioning between the coordinate spaces. For example, 3D vehicle space coordinates may be temporally correlated with known 3D world space coordinates measured while capturing the video. The known 3D world space coordinates and known relative positioning between the coordinate spaces may be used to offset or otherwise define a transform for the 3D vehicle space coordinates to world space. Resultant 3D world space coordinates may be used for one or more labeled frames to generate ground truth data. For example, 3D world space coordinates for left and right lane lines from multiple frames may be used to define lane lines for any given frame.
    Type: Application
    Filed: March 16, 2022
    Publication date: September 21, 2023
    Inventors: Zongyi Yang, Mariusz Bojarski, Bernhard Firner
  • Publication number: 20230110713
    Abstract: In various examples, a plurality of poses corresponding to one or more configuration parameters within an environment—such as a location of a machine within an environment, an orientation of a machine within an environment, a sensor angle pose of a machine, or a sensor location of a machine—may be used to generate training data and corresponding ground truth data for training a machine learning model—such as a deep neural network (DNN). As a result, the machine learning model, once deployed, may more accurately compute one or more outputs—such as outputs representative of lane boundaries, trajectories for an autonomous machine, etc.—agnostic to machine and/or sensor poses of the machine within which the machine learning model is deployed.
    Type: Application
    Filed: October 8, 2021
    Publication date: April 13, 2023
    Inventors: Alperen Degirmenci, Won Hong, Mariusz Bojarski, Jesper Eduard van Engelen, Bernhard Firner, Zongyi Yang, Urs Muller
  • Publication number: 20220092317
    Abstract: In various examples, sensor data used to train an MLM and/or used by the MLM during deployment, may be captured by sensors having different perspectives (e.g., fields of view). The sensor data may be transformed—to generate transformed sensor data—such as by altering or removing lens distortions, shifting, and/or rotating images corresponding to the sensor data to a field of view of a different physical or virtual sensor. As such, the MLM may be trained and/or deployed using sensor data captured from a same or similar field of view. As a result, the MLM may be trained and/or deployed—across any number of different vehicles with cameras and/or other sensors having different perspectives—using sensor data that is of the same perspective as the reference or ideal sensor.
    Type: Application
    Filed: September 21, 2021
    Publication date: March 24, 2022
    Inventors: Zongyi Yang, Mariusz Bojarski, Bernhard Firner, Urs Muller
  • Publication number: 20220092349
    Abstract: In various examples, sets of testing data may be selected and applied to an MLM such that differences in performance of the MLM in the testing between the sets indicates and may be used to determine whether and/or an extent by which the MLM is trained to rely on artifacts. Training data for the MLM may be generated using a first value of a parameter that defines a value of a characteristic of the training data. For testing, first testing data may be selected that corresponds to a second value of the parameter that shifts the value in a first direction and second testing data may be selected that corresponds to a third value of the parameter that shifts the value in a second direction (e.g., opposite the first direction). Various possible actions may be taken based on results of analyzing the differences in performance.
    Type: Application
    Filed: September 21, 2021
    Publication date: March 24, 2022
    Inventor: Zongyi Yang
  • Publication number: 20210406679
    Abstract: In examples, image data representative of an image of a field of view of at least one sensor may be received. Source areas may be defined that correspond to a region of the image. Areas and/or dimensions of at least some of the source areas may decrease along at least one direction relative to a perspective of the at least one sensor. A downsampled version of the region (e.g., a downsampled image or feature map of a neural network) may be generated from the source areas based at least in part on mapping the source areas to cells of the downsampled version of the region. Resolutions of the region that are captured by the cells may correspond to the areas of the source areas, such that certain portions of the region (e.g., portions at a far distance from the sensor) retain higher resolution than others.
    Type: Application
    Filed: June 30, 2020
    Publication date: December 30, 2021
    Inventors: Haiguang Wen, Bernhard Firner, Mariusz Bojarski, Zongyi Yang, Urs Muller
  • Publication number: 20200339109
    Abstract: In various examples, sensor data recorded in the real-world may be leveraged to generate transformed, additional, sensor data to test one or more functions of a vehicle—such as a function of an AEB, CMW, LDW, ALC, or ACC system. Sensor data recorded by the sensors may be augmented, transformed, or otherwise updated to represent sensor data corresponding to state information defined by a simulation test profile for testing the vehicle function(s). Once a set of test data has been generated, the test data may be processed by a system of the vehicle to determine the efficacy of the system with respect to any number of test criteria. As a result, a test set including additional or alternative instances of sensor data may be generated from real-world recorded sensor data to test a vehicle in a variety of test scenarios—including those that may be too dangerous to test in the real-world.
    Type: Application
    Filed: April 28, 2020
    Publication date: October 29, 2020
    Inventors: Jesse Hong, Urs Muller, Bernhard Firner, Zongyi Yang, Joyjit Daw, David Nister, Roberto Giuseppe Luca Valenti, Rotem Aviv
  • Patent number: 8633000
    Abstract: Processes for producing a suitable purity grade of L-Citrulline are disclosed. The processes can include contacting crude L-Citrulline in an aqueous solution with an adsorptive medium at a temperature above approximately 50° C. and below the temperature of denaturement for the L-Citrulline for an interval sufficient to remove at least one contaminant from the L-Citrulline. The processes can also include concentrating the dissolved L-Citrulline relative to the aqueous solution.
    Type: Grant
    Filed: May 14, 2012
    Date of Patent: January 21, 2014
    Assignee: Global Strategic Connections, LLC
    Inventors: Hua Bai, Peijie Yang, Zhengjie Chen, Chongyang Xu, Zhaorui Li, Zigang Zhao, Luyan Jiang, Zongyi Yang, Jiang Li
  • Publication number: 20120296116
    Abstract: Processes for producing a suitable purity grade of L-Citrulline are disclosed. The processes can include contacting crude L-Citrulline in an aqueous solution with an adsorptive medium at a temperature above approximately 50° C. and below the temperature of denaturement for the L-Citrulline for an interval sufficient to remove at least one contaminant from the L-Citrulline. The processes can also include concentrating the dissolved L-Citrulline relative to the aqueous solution.
    Type: Application
    Filed: May 14, 2012
    Publication date: November 22, 2012
    Applicant: GLOBAL STRATEGIC CONNECTIONS, LLC
    Inventors: Hua Bai, Peijie Yang, Zhengjie Chen, Chongyang Xu, Zhaorui Li, Zigang Zhao, Luyan Jiang, Zongyi Yang, Jiang Li
  • Patent number: 8178721
    Abstract: Processes for producing a suitable purity grade of L-Citrulline are disclosed. The processes can include contacting crude L-Citrulline in an aqueous solution with an adsorptive medium at a temperature above approximately 50° C. and below the temperature of denaturement for the L-Citrulline for an interval sufficient to remove at least one contaminant from the L-Citrulline. The processes can also include concentrating the dissolved L-Citrulline relative to the aqueous solution.
    Type: Grant
    Filed: August 20, 2008
    Date of Patent: May 15, 2012
    Assignee: Global Strategic Connections, LLC
    Inventors: Hua Bai, Peijie Yang, Zhengjie Chen, Chongyang Xu, Zhaorul Li, Zigang Zhao, Luyan Jiang, Zongyi Yang, Jiang Li
  • Publication number: 20090142813
    Abstract: Processes for producing a suitable purity grade of L-Citrulline are disclosed. The processes can include contacting crude L-Citrulline in an aqueous solution with an adsorptive medium at a temperature above approximately 50° C. and below the temperature of denaturement for the L-Citrulline for an interval sufficient to remove at least one contaminant from the L-Citrulline. The processes can also include concentrating the dissolved L-Citrulline relative to the aqueous solution.
    Type: Application
    Filed: August 20, 2008
    Publication date: June 4, 2009
    Inventors: Hua Bai, Peijie Yang, Zhengjie Chen, Chongyan Xu, Zhaorul Li, Zigang Zhao, Luyan Jiang, Zongyi Yang, Jiang Li
  • Patent number: D906022
    Type: Grant
    Filed: September 24, 2019
    Date of Patent: December 29, 2020
    Inventor: Zongyi Yang