公开(公告)号：US20230379749A1

公开(公告)日：2023-11-23

申请号：US18030435

申请日：2021-12-08

申请人： Intel Corporation

发明人： Necati Canpolat ,  Dibakar Das ,  Ganesh Venkatesan ,  Dave A. Cavalcanti ,  Laurent Cariou ,  Chen Chen ,  Carlos Cordeiro ,  Juan Fang ,  Chittabrata Ghosh

IPC分类号： H04W28/02

CPC分类号： H04W28/0268 ,  H04W28/0263 ,  H04W84/12

摘要： A non-Access Point Extremely High Throughput Station (non-AP EHT STA) initiates a Quality-of-Service (QoS) setup by sending a Stream Classification Service (SCS) Request frame to an associated access point (AP). The SCS request frame may be encoded to have a request type field set to “Add” and may contain an SCS Descriptor element having a traffic description field, a traffic classification field, and a Multi-Link Operation (MLO) field. The non-AP EHT STA may decode an SCS Response frame from the AP that indicate whether the QoS setup has been added. The non-AP EHT STA may then exchange a QoS traffic flow with the associated AP in accordance with the QoS setup when the QoS setup has been added. When the QoS traffic flow ends, the non-AP EHT STA may encode a second SCS Request frame for transmission to the AP with the request type field set to “Remove” to delete the QoS setup.

公开(公告)号：US20190043178A1

公开(公告)日：2019-02-07

申请号：US16031152

申请日：2018-07-10

申请人： INTEL CORPORATION

发明人： Chen Chen ,  Qifeng Chen ,  Vladlen Koltun

IPC分类号： G06T5/00 ,  G06T5/40 ,  G06T1/20

摘要： An example apparatus for imaging in low-light environments includes a raw sensor data receiver to receive raw sensor data from an imaging sensor. The apparatus also includes a convolutional neural network trained to generate an illuminated image based on the received raw sensor data. The convolutional neural network is trained based on images captured by a sensor similar to the imaging sensor.

公开(公告)号：US10803565B2

公开(公告)日：2020-10-13

申请号：US16031152

申请日：2018-07-10

申请人： INTEL CORPORATION

发明人： Chen Chen ,  Qifeng Chen ,  Vladlen Koltun

IPC分类号： G06T5/00 ,  G06T5/40 ,  G06T1/20 ,  G06N20/00 ,  G06N3/02 ,  G06T9/00

摘要： An example apparatus for imaging in low-light environments includes a raw sensor data receiver to receive raw sensor data from an imaging sensor. The apparatus also includes a convolutional neural network trained to generate an illuminated image based on the received raw sensor data. The convolutional neural network is trained based on images captured by a sensor similar to the imaging sensor.