公开(公告)号：US20230043836A1

公开(公告)日：2023-02-09

申请号：US17789752

申请日：2020-12-25

Applicant: SONY GROUP CORPORATION

Inventor： TAKAYOSHI TAKAYANAGI ,  SHOHEI YAMAMOTO ,  KENTA KAWAMOTO ,  KOHEI URUSHIDO ,  SHUN LEE ,  KAZUMI AOYAMA

IPC: G06V20/52 ,  G06V40/10

Abstract: The present technology relates to an information processing apparatus, an information processing method, and a program capable of making a path plan avoiding a crowd.
A cost map indicating a risk of passing through a region is generated using crowd information. The present technology can be applied to unmanned aerial vehicle (UAV) traffic management (UTM) and the like that control a UAV, for example.

公开(公告)号：US20240269830A1

公开(公告)日：2024-08-15

申请号：US18567953

申请日：2021-07-29

Applicant: SONY GROUP CORPORATION

Inventor： SHUNICHI SEKIGUCHI ,  KAZUMI AOYAMA ,  TAKAYOSHI TAKAYANAGI ,  HIROTAKA SUZUKI

IPC: B25J9/16

CPC classification number: B25J9/1612 ,  B25J9/1697

Abstract: An information processing apparatus according to an embodiment of the present technology includes a region calculation unit. The region calculation unit calculates, on the basis of operation information regarding an operation performed on a target object and an image of the target object, a hand area when the operation is performed on the target object by using an image generator or a predictor. This enables a high-precision operation. Moreover, a dataset used for the image generator and the predictor can be collected more easily. Therefore, a massive amount of datasets can be built and can be applied to various target objects.

公开(公告)号：US20230066809A1

公开(公告)日：2023-03-02

申请号：US17794850

申请日：2021-01-07

Applicant: SONY GROUP CORPORATION

Inventor： SHUN LEE ,  KOHEI URUSHIDO ,  KAZUMI AOYAMA ,  TAKAYOSHI TAKAYANAGI ,  KENTA KAWAMOTO ,  SHOHEI YAMAMOTO

IPC: G08G5/04 ,  B64C39/02 ,  G05D1/10 ,  B64D45/00

Abstract: A configuration is achieved in which collision risk information is received from a mobile device such as a drone, a modified path with a low collision risk is generated, and movement according to the modified path is performed. Existence of a second mobile device or pedestrian exposed to a collision risk is checked on the basis of collision risk information received from the mobile device such as a drone, and in a case where the existence of the second mobile device or pedestrian exposed to the collision risk is confirmed, collision risk information received from a first mobile device or modified safe circuit information is transmitted to the second mobile device exposed to the collision risk, or transmitted to a user terminal held by the pedestrian exposed to the collision risk. The collision risk information received from the mobile device such as a drone is risk information with which a collision risk corresponding to a three-dimensional spatial position can be analyzed.

公开(公告)号：US20240290099A1

公开(公告)日：2024-08-29

申请号：US18572378

申请日：2021-09-16

Applicant: SONY GROUP CORPORATION

Inventor： YUKI YAMAMOTO ,  TAKAYOSHI TAKAYANAGI ,  KAZUMI AOYAMA

IPC: G06V20/50 ,  B25J9/16 ,  G06T7/20 ,  G06V10/764 ,  G06V10/774 ,  G06V20/70

CPC classification number: G06V20/50 ,  B25J9/1697 ,  G06T7/20 ,  G06V10/764 ,  G06V10/774 ,  G06V20/70 ,  G06T2207/10016 ,  G06T2207/20081

Abstract: An information processing apparatus includes: a determination unit that determines that a first object has been detected by a detection model from a first image included in a series of time-series images, the first object having not been detected from one or more second images that are included in the time-series images and chronologically earlier than the first image; a tracking unit that extracts, from the one or more second images, the first object that has been occluded by a second object under a predetermined condition; a labeling unit that adds a label to the first object extracted from the one or more second images; a learning unit that learns the one or more second images including the first object to which the label is added; an update unit that updates the detection model on the basis of a learning result of the learning unit; and a detection unit that detects, from a third image, a third object occluded under the predetermined condition by executing the updated detection model.