公开(公告)号：US20220334674A1

公开(公告)日：2022-10-20

申请号：US17760617

申请日：2020-07-13

Applicant: SONY GROUP CORPORATION

Inventor： Atsushi IRIE ,  Natsuko OZAKI ,  Satoshi OZAKI

IPC: G06F3/042 ,  G06F3/01

Abstract: An information processing apparatus according to an embodiment of the present technology includes: a selection unit. The selection unit selects, on the basis of a difference between first position information detected by a ranging sensor with respect to a target portion included in a body and second position information estimated by machine learning with respect to the target portion, the first position information or the second position information. As a result, it is possible to recognize the target portion with high accuracy.

公开(公告)号：US20210389767A1

公开(公告)日：2021-12-16

申请号：US17288243

申请日：2019-10-02

Applicant: SONY GROUP CORPORATION

Inventor： Sayaka WATANABE ,  Jianing WU ,  Jingjing GUO ,  Natsuko OZAKI ,  Jun YOKONO

IPC: G05D1/02 ,  G05D1/00 ,  G01C21/00

Abstract: Provided is an information processing apparatus including: a motion control unit (107) that controls a motion of an autonomous moving body (10), in which, when transmitting/receiving internal data related to the autonomous moving body, the motion control unit causes the autonomous moving body to express execution of the transmission/reception of the internal data by an action.

公开(公告)号：US20240312053A1

公开(公告)日：2024-09-19

申请号：US18269879

申请日：2021-12-13

Applicant: Sony Group Corporation

Inventor： Natsuko OZAKI

IPC: G06T7/73 ,  G06T7/215

CPC classification number: G06T7/74 ,  G06T7/215 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30196

Abstract: There is provided a reasoning apparatus to estimate positions of predetermined areas of subjects more highly precisely. The reasoning apparatus includes an acquiring section that acquires second image data and a trained model obtained on the basis of a third reference position and a fourth reference position that are obtained by a moving process of moving a first reference position of a first subject captured in first image data and a second reference position of a second subject captured in the first image data away from each other, and a third relative position and a fourth relative position that are obtained on the basis of a first relative position of a predetermined area of the first subject relative to the first reference position, a second relative position of a predetermined area of the second subject relative to the second reference position and the moving process, and a reasoning section that obtains a fifth reference position of a third subject captured in the second image data and a fifth relative position of a predetermined area of the third subject relative to the fifth reference position on the basis of the trained model and the second image data.