公开(公告)号：US11927502B2

公开(公告)日：2024-03-12

申请号：US16860824

申请日：2020-04-28

Applicant: NVIDIA Corporation

Inventor： Jesse Hong ,  Urs Muller ,  Bernhard Firner ,  Zongyi Yang ,  Joyjit Daw ,  David Nister ,  Roberto Giuseppe Luca Valenti ,  Rotem Aviv

IPC: G01M17/007 ,  B60W30/08 ,  B60W30/12 ,  B60W30/14 ,  B60W50/00 ,  B60W50/04 ,  B60W60/00 ,  G06V10/774 ,  G06V20/56 ,  G07C5/08 ,  G06F11/36

CPC classification number: G01M17/007 ,  B60W30/08 ,  B60W30/12 ,  B60W30/143 ,  B60W50/04 ,  B60W50/045 ,  B60W60/0011 ,  G06V10/774 ,  G06V20/56 ,  G07C5/08 ,  B60W2050/0028 ,  G06F11/3684 ,  G06F11/3696

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.

公开(公告)号：US20240183752A1

公开(公告)日：2024-06-06

申请号：US18442753

申请日：2024-02-15

Applicant: NVIDIA Corporation

Inventor： Jesse Hong ,  Urs Muller ,  Bernhard Firner ,  Zongyi Yang ,  Joyjit Daw ,  David Nister ,  Roberto Giuseppe Luca Valenti ,  Rotem Aviv

IPC: G01M17/007 ,  B60W30/08 ,  B60W30/12 ,  B60W30/14 ,  B60W50/00 ,  B60W50/04 ,  B60W60/00 ,  G06F11/36 ,  G06V10/774 ,  G06V20/56 ,  G07C5/08

CPC classification number: G01M17/007 ,  B60W30/08 ,  B60W30/12 ,  B60W30/143 ,  B60W50/04 ,  B60W50/045 ,  B60W60/0011 ,  G06V10/774 ,  G06V20/56 ,  G07C5/08 ,  B60W2050/0028 ,  G06F11/3684 ,  G06F11/3696

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.

公开(公告)号：US20200339109A1

公开(公告)日：2020-10-29

申请号：US16860824

申请日：2020-04-28

Applicant: NVIDIA Corporation

Inventor： Jesse Hong ,  Urs Muller ,  Bernhard Firner ,  Zongyi Yang ,  Joyjit Daw ,  David Nister ,  Roberto Giuseppe Luca Valenti ,  Rotem Aviv

IPC: B60W30/08 ,  B60W30/12 ,  B60W30/14 ,  B60W60/00

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.