公开(公告)号：US20210158483A1

公开(公告)日：2021-05-27

申请号：US17105028

申请日：2020-11-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Daniel Robert Kepple ,  Dae Won Lee ,  Ibrahim Volkan Isler ,  Kanaka Rajan ,  Il Memming Park ,  Daniel Dongyuel Lee

IPC: G06T3/40 ,  G06T7/246 ,  G06N3/04 ,  G06T7/00

Abstract: A method may include obtaining a set of events, of a set of pixels of a dynamic vision sensor, associated with an object; determining a set of voltages of the set of pixels, based on the set of events; generating a set of images, based on the set of voltages of the set of pixels; inputting the set of images into a first neural network configured to output a visual motion estimation of the object; inputting the set of images into a second neural network configured to output a confidence score of the visual motion estimation output by the first neural network; obtaining the visual motion estimation of the object and the confidence score of the visual motion estimation of the object, based on inputting the set of images into the first neural network and the second neural network; and providing the visual motion estimation of the object and the confidence score.

公开(公告)号：US11694304B2

公开(公告)日：2023-07-04

申请号：US17105028

申请日：2020-11-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Daniel Robert Kepple ,  Dae Won Lee ,  Ibrahim Volkan Isler ,  Kanaka Rajan ,  Il Memming Park ,  Daniel Dongyuel Lee

IPC: G06T3/40 ,  G06T7/00 ,  G06T7/246 ,  G06N3/045

CPC classification number: G06T3/4046 ,  G06N3/045 ,  G06T7/246 ,  G06T7/97

Abstract: A method may include obtaining a set of events, of a set of pixels of a dynamic vision sensor, associated with an object; determining a set of voltages of the set of pixels, based on the set of events; generating a set of images, based on the set of voltages of the set of pixels; inputting the set of images into a first neural network configured to output a visual motion estimation of the object; inputting the set of images into a second neural network configured to output a confidence score of the visual motion estimation output by the first neural network; obtaining the visual motion estimation of the object and the confidence score of the visual motion estimation of the object, based on inputting the set of images into the first neural network and the second neural network; and providing the visual motion estimation of the object and the confidence score.