公开(公告)号：US10482609B2

公开(公告)日：2019-11-19

申请号：US15478784

申请日：2017-04-04

Applicant: General Electric Company

Inventor： Ser Nam Lim ,  Mustafa Devrim Kaba ,  Mustafa Uzunbas ,  David Diwinsky

IPC: G06T7/215 ,  G06N3/04 ,  G06N3/08 ,  G06T7/277

Abstract: A generative adversarial network (GAN) system includes a generator sub-network configured to examine images of an object moving relative to a viewer of the object. The generator sub-network also is configured to generate one or more distribution-based images based on the images that were examined. The system also includes a discriminator sub-network configured to examine the one or more distribution-based images to determine whether the one or more distribution-based images accurately represent the object. A predicted optical flow of the object is represented by relative movement of the object as shown in the one or more distribution-based images.

公开(公告)号：US10265850B2

公开(公告)日：2019-04-23

申请号：US15342500

申请日：2016-11-03

Applicant: General Electric Company

Inventor： Ser Nam Lim ,  David Scott Diwinsky ,  Xiao Bian ,  Wayne Ray Grady ,  Mustafa Gokhan Uzunbas ,  Mustafa Devrim Kaba

IPC: B25J9/16 ,  G01B11/24 ,  G05B19/401 ,  G05D1/00 ,  G06T7/00

Abstract: The present disclosure is directed to a computer-implemented method of sensor planning for acquiring samples via an apparatus including one or more sensors. The computer-implemented method includes defining, by one or more computing devices, an area of interest; identifying, by the one or more computing devices, one or more sensing parameters for the one or more sensors; determining, by the one or more computing devices, a sampling combination for acquiring a plurality of samples by the one or more sensors based at least in part on the one or more sensing parameters; and providing, by the one or more computing devices, one or more command control signals to the apparatus including the one or more sensors to acquire the plurality of samples of the area of interest using the one or more sensors based at least on the sampling combination.

公开(公告)号：US20180286055A1

公开(公告)日：2018-10-04

申请号：US15478784

申请日：2017-04-04

Applicant: General Electric Company

Inventor： Ser Nam Lim ,  Mustafa Devrim Kaba ,  Mustafa Uzunbas ,  David Diwinsky

IPC: G06T7/215

CPC classification number: G06T7/215 ,  G06N3/0454 ,  G06N3/084 ,  G06T7/277 ,  G06T2207/20084

Abstract: A generative adversarial network (GAN) system includes a generator sub-network configured to examine images of an object moving relative to a viewer of the object. The generator sub-network also is configured to generate one or more distribution-based images based on the images that were examined. The system also includes a discriminator sub-network configured to examine the one or more distribution-based images to determine whether the one or more distribution-based images accurately represent the object. A predicted optical flow of the object is represented by relative movement of the object as shown in the one or more distribution-based images.

公开(公告)号：US20180117760A1

公开(公告)日：2018-05-03

申请号：US15342500

申请日：2016-11-03

Applicant: General Electric Company

Inventor： Ser Nam Lim ,  David Scott Diwinsky ,  Xiao Bian ,  Wayne Ray Grady ,  Mustafa Gokhan Uzunbas ,  Mustafa Devrim Kaba

IPC: B25J9/16

CPC classification number: B25J9/163 ,  B25J9/1661 ,  B25J9/1694 ,  G01B11/24 ,  G05B19/401 ,  G05B2219/37441 ,  G05B2219/37448 ,  G05B2219/37451 ,  G05B2219/40499 ,  G05B2219/45066 ,  G05D1/0088 ,  G05D1/0094 ,  G06T7/0004

Abstract: The present disclosure is directed to a computer-implemented method of sensor planning for acquiring samples via an apparatus including one or more sensors. The computer-implemented method includes defining, by one or more computing devices, an area of interest; identifying, by the one or more computing devices, one or more sensing parameters for the one or more sensors; determining, by the one or more computing devices, a sampling combination for acquiring a plurality of samples by the one or more sensors based at least in part on the one or more sensing parameters; and providing, by the one or more computing devices, one or more command control signals to the apparatus including the one or more sensors to acquire the plurality of samples of the area of interest using the one or more sensors based at least on the sampling combination.