公开(公告)号：US20170135621A1

公开(公告)日：2017-05-18

申请号：US15351629

申请日：2016-11-15

Applicant: Samsung Electronics Co., Ltd.

Inventor： Dong Hwa LEE ,  Chang Hyun KIM ,  Eun Soo SHIM ,  Ki Hwan CHOI ,  Hyun Jin CHOI

IPC: A61B5/18 ,  G06N99/00 ,  A61B3/00 ,  A61B5/0402 ,  A61B5/0476 ,  A61B3/10 ,  G05D1/00 ,  A61B5/024

CPC classification number: A61B5/18 ,  A61B3/0025 ,  A61B3/10 ,  A61B5/024 ,  A61B5/0402 ,  A61B5/0476 ,  A61B5/225 ,  B60W30/00 ,  G05D1/0221 ,  G06N3/0454

Abstract: Disclosed is an apparatus and method to train an autonomous driving model. The apparatus includes a driver information collection processor configured to collect driver information while a vehicle is being driven. The apparatus also includes a sensor information collection processor configured to collect sensor information from a sensor installed in the vehicle while the vehicle is being driven, and a model training processor configured to train the autonomous driving model based on the driver information and the sensor information.

公开(公告)号：US20180325442A1

公开(公告)日：2018-11-15

申请号：US16034436

申请日：2018-07-13

Applicant: Samsung Electronics Co., Ltd.

Inventor： Dong Hwa LEE ,  Chang Hyun KIM ,  Eun Soo SHIM ,  Ki Hwan CHOI ,  Hyun Jin CHOI

IPC: A61B5/18 ,  A61B3/10 ,  B60W30/00 ,  G05D1/02 ,  G06N3/04 ,  A61B3/00 ,  A61B5/024 ,  A61B5/0402 ,  A61B5/22 ,  A61B5/0476

Abstract: Disclosed is an apparatus and method to train an autonomous driving model. The apparatus includes a driver information collection processor configured to collect driver information while a vehicle is being driven. The apparatus also includes a sensor information collection processor configured to collect sensor information from a sensor installed in the vehicle while the vehicle is being driven, and a model training processor configured to train the autonomous driving model based on the driver information and the sensor information.

公开(公告)号：US20170070817A1

公开(公告)日：2017-03-09

申请号：US15244475

申请日：2016-08-23

Applicant: Samsung Electronics Co., Ltd.

Inventor： Young Wan SEO ,  Chang Hyun KIM ,  Eun Soo SHIM

IPC: H04R3/04 ,  G06F3/16 ,  G06N99/00 ,  H04R29/00 ,  G10L25/51

CPC classification number: H04R3/04 ,  G06F3/165 ,  G06N20/00 ,  G10L25/30 ,  G10L25/39 ,  G10L25/48 ,  G10L25/51 ,  H03G3/32 ,  H03G5/165 ,  H04R29/001 ,  H04R2430/01

Abstract: Provided is an apparatus and corresponding method to control sound. The apparatus includes a genre determiner configured to determine a genre of sound data by using a genre recognition model, an equalizer setter configured to set an equalizer according to the determined genre, and a reproducer configured to reproduce the sound data based on the set equalizer.

Abstract translation: 提供了一种用于控制声音的装置和相应的方法。 该装置包括：种类确定器，被配置为通过使用种类识别模型来确定声音数据的类型;均衡器设置器，被配置为根据确定的类型设置均衡器;以及再现器，被配置为基于所设置的均衡器再现声音数据。

公开(公告)号：US20200090008A1

公开(公告)日：2020-03-19

申请号：US16683455

申请日：2019-11-14

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hyun Jin CHOI ,  Chang Hyun KIM ,  Eun Soo SHIM ,  Dong Hwa LEE ,  Ki Hwan CHOI

IPC: G06K9/62 ,  G06K9/46 ,  G06K9/52 ,  G06K9/66

Abstract: Apparatuses and methods for image processing are provided. The image processing apparatus performs area classification and object detection in an image, and includes a feature map generator configured to generate the feature map of the input image using the neural network, and an image processor configured to classify the areas and to detect the objects in the image using the generated feature map.

公开(公告)号：US20170169313A1

公开(公告)日：2017-06-15

申请号：US15271476

申请日：2016-09-21

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hyun Jin CHOI ,  Chang Hyun KIM ,  Eun Soo SHIM ,  Dong Hwa LEE ,  Ki Hwan CHOI

IPC: G06K9/62 ,  G06K9/52 ,  G06K9/46 ,  G06K9/66

CPC classification number: G06K9/6267 ,  G06K9/3241 ,  G06K9/4604 ,  G06K9/4628 ,  G06K9/52 ,  G06K9/66

Abstract: Apparatuses and methods for image processing are provided. The image processing apparatus performs area classification and object detection in an image, and includes a feature map generator configured to generate the feature map of the input image using the neural network, and an image processor configured to classify the areas and to detect the objects in the image using the generated feature map.