公开(公告)号：US20210182605A1

公开(公告)日：2021-06-17

申请号：US17190631

申请日：2021-03-03

Applicant: Perceptive Automata, Inc.

Inventor： Samuel English Anthony ,  Kshitij Misra ,  Avery Wagner Faller

IPC: G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  G06K9/00 ,  G08G1/16 ,  G08G1/04 ,  G05D1/00 ,  B60W30/00

Abstract: Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

公开(公告)号：US11981352B2

公开(公告)日：2024-05-14

申请号：US17190631

申请日：2021-03-03

Applicant: Perceptive Automata, Inc.

Inventor： Samuel English Anthony ,  Kshitij Misra ,  Avery Wagner Faller

IPC: G06N3/04 ,  B60W30/00 ,  B60W60/00 ,  G05D1/00 ,  G06F18/214 ,  G06F18/40 ,  G06N3/08 ,  G06N3/084 ,  G06V10/778 ,  G06V20/40 ,  G06V20/58 ,  G06V40/20 ,  G08G1/04 ,  G08G1/16 ,  G06N5/01 ,  G06N20/10

CPC classification number: B60W60/00274 ,  B60W30/00 ,  G05D1/0088 ,  G06F18/214 ,  G06F18/41 ,  G06N3/04 ,  G06N3/08 ,  G06N3/084 ,  G06V10/7784 ,  G06V20/41 ,  G06V20/58 ,  G06V40/20 ,  G08G1/04 ,  G08G1/166 ,  G05D2201/0213 ,  G06N5/01 ,  G06N20/10

Abstract: Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

公开(公告)号：US11126889B2

公开(公告)日：2021-09-21

申请号：US16828823

申请日：2020-03-24

Applicant: Perceptive Automata Inc.

Inventor： Samuel English Anthony ,  Kshitij Misra ,  Avery Wagner Faller

IPC: G06K9/00 ,  G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  G08G1/16 ,  G08G1/04 ,  G05D1/00 ,  B60W30/00 ,  G06N5/00 ,  G06N20/10

Abstract: Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

公开(公告)号：US20200293822A1

公开(公告)日：2020-09-17

申请号：US16828823

申请日：2020-03-24

Applicant: Perceptive Automata Inc.

Inventor： Samuel English Anthony ,  Kshitij Misra ,  Avery Wagner Faller

IPC: G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  G06K9/00 ,  G08G1/16 ,  G08G1/04 ,  G05D1/00 ,  B60W30/00

Abstract: Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

公开(公告)号：US11753046B2

公开(公告)日：2023-09-12

申请号：US17468516

申请日：2021-09-07

Applicant: Perceptive Automata Inc.

Inventor： Samuel English Anthony ,  Kshitij Misra ,  Avery Wagner Faller

IPC: G06N3/08 ,  B60W60/00 ,  G06N3/04 ,  G08G1/16 ,  G08G1/04 ,  G05D1/00 ,  B60W30/00 ,  G06N3/084 ,  G06V20/40 ,  G06V20/58 ,  G06V40/20 ,  G06F18/40 ,  G06F18/214 ,  G06V10/778 ,  G06N20/10 ,  G06N5/01

CPC classification number: B60W60/00274 ,  B60W30/00 ,  G05D1/0088 ,  G06F18/214 ,  G06F18/41 ,  G06N3/04 ,  G06N3/08 ,  G06N3/084 ,  G06V10/7784 ,  G06V20/41 ,  G06V20/58 ,  G06V40/20 ,  G08G1/04 ,  G08G1/166 ,  G05D2201/0213 ,  G06N5/01 ,  G06N20/10

Abstract: Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

公开(公告)号：US20210182604A1

公开(公告)日：2021-06-17

申请号：US17190619

申请日：2021-03-03

Applicant: Perceptive Automata, Inc.

Inventor： Samuel English Anthony ,  Kshitij Misra ,  Avery Wagner Faller

IPC: G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  G06K9/00 ,  G08G1/16 ,  G08G1/04 ,  G05D1/00 ,  B60W30/00

Abstract: Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

公开(公告)号：US20200247432A1

公开(公告)日：2020-08-06

申请号：US16709788

申请日：2019-12-10

Applicant: Perceptive Automata, Inc.

Inventor： Kshitij Misra ,  Samuel English Anthony

IPC: B60W60/00 ,  G06K9/00 ,  G08G1/01 ,  G06N3/08

Abstract: A system performs modeling and simulation of non-stationary traffic entities for testing and development of modules used in an autonomous vehicle system. The system uses a machine learning based model that predicts hidden context attributes for traffic entities that may be encountered by a vehicle in traffic. The system generates simulation data for testing and development of modules that help navigate autonomous vehicles. The generated simulation data may be image or video data including representations of traffic entities, for example, pedestrians, bicyclists, and other vehicles. The system may generate simulation data using generative adversarial neural networks.

公开(公告)号：US20190340465A1

公开(公告)日：2019-11-07

申请号：US16512560

申请日：2019-07-16

Applicant: Perceptive Automata, Inc.

Inventor： Samuel English Anthony ,  Kshitij Misra ,  Avery Wagner Faller

IPC: G06K9/62 ,  G06N3/04 ,  G06N3/08 ,  G06K9/00 ,  G05D1/00 ,  G08G1/04 ,  G08G1/16 ,  B60W30/00

Abstract: Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

公开(公告)号：US11987272B2

公开(公告)日：2024-05-21

申请号：US17190619

申请日：2021-03-03

Applicant: Perceptive Automata, Inc.

Inventor： Samuel English Anthony ,  Kshitij Misra ,  Avery Wagner Faller

IPC: G06N3/08 ,  B60W30/00 ,  B60W60/00 ,  G05D1/00 ,  G06F18/214 ,  G06F18/40 ,  G06N3/04 ,  G06N3/084 ,  G06V10/778 ,  G06V20/40 ,  G06V20/58 ,  G06V40/20 ,  G08G1/04 ,  G08G1/16 ,  G06N5/01 ,  G06N20/10 ,  G06V10/62

CPC classification number: B60W60/00274 ,  B60W30/00 ,  G05D1/0088 ,  G06F18/214 ,  G06F18/41 ,  G06N3/04 ,  G06N3/08 ,  G06N3/084 ,  G06V10/7784 ,  G06V20/41 ,  G06V20/58 ,  G06V40/20 ,  G08G1/04 ,  G08G1/166 ,  G05D2201/0213 ,  G06N5/01 ,  G06N20/10 ,  G06V10/62

Abstract: Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

公开(公告)号：US11667301B2

公开(公告)日：2023-06-06

申请号：US16709788

申请日：2019-12-10

Applicant: Perceptive Automata, Inc.

Inventor： Kshitij Misra ,  Samuel English Anthony

IPC: G01C22/00 ,  G05D1/00 ,  B60W50/00 ,  B60W40/04 ,  B60W60/00 ,  G06N3/08 ,  G08G1/01 ,  G06V20/56

CPC classification number: B60W50/0097 ,  B60W40/04 ,  B60W60/0011 ,  B60W60/0015 ,  G05D1/0088 ,  G06N3/08 ,  G06V20/56 ,  G08G1/0125 ,  G08G1/0145 ,  B60W2554/00 ,  G05D2201/0213

Abstract: A system performs modeling and simulation of non-stationary traffic entities for testing and development of modules used in an autonomous vehicle system. The system uses a machine learning based model that predicts hidden context attributes for traffic entities that may be encountered by a vehicle in traffic. The system generates simulation data for testing and development of modules that help navigate autonomous vehicles. The generated simulation data may be image or video data including representations of traffic entities, for example, pedestrians, bicyclists, and other vehicles. The system may generate simulation data using generative adversarial neural networks.