公开(公告)号：US20210116930A1

公开(公告)日：2021-04-22

申请号：US16971195

申请日：2019-01-16

Applicant: SONY CORPORATION

Inventor： YUKA ARIKI

IPC: G05D1/02 ,  G06N20/00 ,  G06N7/00 ,  G05B13/02 ,  G01C21/30 ,  G01C21/34 ,  G01C21/00

Abstract: [Abstract] An information processing apparatus according to an aspect of the present technology includes an acquisition unit and a calculation unit. The acquisition unit acquires training data including course data related to a course along which a mobile object has moved. The calculation unit calculates a cost function related to movement of the mobile object through inverse reinforcement learning on the basis of the acquired training data.

公开(公告)号：US20210264806A1

公开(公告)日：2021-08-26

申请号：US17250253

申请日：2019-06-25

Applicant: SONY CORPORATION

Inventor： YUKA ARIKI

IPC: G09B9/05 ,  G06N20/00

Abstract: According to the present disclosure, there is provided an information processing apparatus including: an acquisition unit (102) that acquires a log related to driving on a driving simulator and acquires a transition time period for mode switching obtained corresponding to the log; a learning unit (104) that learns a relationship between the log and the transition time period; and a calculation unit (302) that calculates the transition time period corresponding to a certain driving state based on a learning result of the learning unit.

公开(公告)号：US20210256371A1

公开(公告)日：2021-08-19

申请号：US16973138

申请日：2019-03-29

Applicant: SONY CORPORATION

Inventor： YUKA ARIKI ,  TAKUYA NARIHIRA

IPC: G06N3/08 ,  G06T11/20

Abstract: To enable learning of versatile heuristics with a large reduction in search time. Provided is an information processing device including: a learning unit configured to learn a heuristics function according to path searching, with a convolutional neural network, in which the convolutional neural network carries out learning based on a plurality of obstacle maps, to output a heuristics map expressing the heuristics function as a two or more dimensional image. Moreover, provided is an information processing method including: learning a heuristics function according to path searching, by a processor, with a convolutional neural network, in which the convolutional neural network carries out learning based on a plurality of obstacle maps, to output a heuristics map expressing the heuristics function as a two or more dimensional image.