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公开(公告)号:US20190012802A1
公开(公告)日:2019-01-10
申请号:US15643453
申请日:2017-07-06
Applicant: Futurewei Technologies, Inc.
Inventor: Lifeng Liu , Xiaotian Yin , Yingxuan Zhu , Jun Zhang , Jian Li
IPC: G06T7/73
CPC classification number: G06T7/73 , G06K9/00664 , G06K9/6256 , G06K9/6274 , G06K9/6857 , G06T2207/20081 , G06T2207/20084
Abstract: Various embodiments include systems and methods structured to provide recognition of an object in an image using a learning module trained using decomposition of the object into components in a number of training images. The training can be based on an overall objectness score of the object, an objectness score of each component of the object, a pose of the object, and a pose of each component of the object for each training image input. Additional systems and methods can be implemented in a variety of applications.
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公开(公告)号:US20180124413A1
公开(公告)日:2018-05-03
申请号:US15339359
申请日:2016-10-31
Applicant: Futurewei Technologies, Inc.
Inventor: John R. Sopka , Kandarp Patel , Lei Rao , Jian Li
IPC: H04N19/182 , H04N19/17 , H04N19/156
CPC classification number: H04N19/182 , H04N1/41 , H04N1/4172 , H04N19/156 , H04N19/17 , H04N19/88
Abstract: An apparatus comprises: a receiver configured to receive an image; and a processor coupled to the receiver and configured to: divide the image into pixels; reorder the pixels to create reordered pixels; generate a first sub-image and a second sub-image using the reordered pixels; generate a first instruction to store the first sub-image in a first sub-image node; and generate a second instruction to store the second sub-image in a second sub-image node; and a transmitter coupled to the processor and configured to transmit the first instruction and the second instruction to a database.
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公开(公告)号:US10460470B2
公开(公告)日:2019-10-29
申请号:US15643453
申请日:2017-07-06
Applicant: Futurewei Technologies, Inc.
Inventor: Lifeng Liu , Xiaotian Yin , Yingxuan Zhu , Jun Zhang , Jian Li
Abstract: Various embodiments include systems and methods structured to provide recognition of an object in an image using a learning module trained using decomposition of the object into components in a number of training images. The training can be based on an overall objectness score of the object, an objectness score of each component of the object, a pose of the object, and a pose of each component of the object for each training image input. Additional systems and methods can be implemented in a variety of applications.
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4.
公开(公告)号:US20170257450A1
公开(公告)日:2017-09-07
申请号:US15057665
申请日:2016-03-01
Applicant: Futurewei Technologies, Inc.
Inventor: Lei Rao , Jian Li , Jiafeng Zhu , Ron-Chung Hu
CPC classification number: H04L67/22 , H02J3/14 , H02J13/0006 , H04L67/12
Abstract: A method implemented in a network element (NE) configured to operate as an Ensemble Information Broker (EIB) within a data and energy storage internet architecture, the method comprising collecting device data, human presence data, and human activity data; determining predicted human behaviors for the user; determining a predicted energy metric for the smart system during a future time slot; calibrating weighted objective metrics of an operating status of the devices, a human comfort level, and a human productivity level according to the predicted human behaviors and user defined preference levels defined for the smart system; generating a set of control commands for the devices within the smart system by executing the dynamic human-centric Objective Function on the predicted energy metric; and transmitting, via a transmitter, the set of control commands to corresponding devices within the smart system.
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公开(公告)号:US11243944B2
公开(公告)日:2022-02-08
申请号:US15637405
申请日:2017-06-29
Applicant: Futurewei Technologies, Inc.
Inventor: Jun Zhang , Lifeng Liu , Yingxuan Zhu , Xiaotian Yin , Jian Li
IPC: G06F16/242 , G06F16/22 , G06F16/33 , G06F16/332 , G06F40/30
Abstract: A computer-implemented method of answering questions comprises: receiving, by one or more processors, a query; based on the query, generating, by the one or more processors, a matrix; based on the matrix, modifying, by the one or more processors, a dynamic memory; based on the matrix, determining, by the one or more processors, a first response from the dynamic memory; based on the matrix, determining, by the one or more processors, a second response from a database; based on the first response and the second response, determining, by the one or more processors, a third response; and in response to the query, providing, by the one or more processors, the third response.
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公开(公告)号:US10257525B2
公开(公告)日:2019-04-09
申请号:US15339359
申请日:2016-10-31
Applicant: Futurewei Technologies, Inc.
Inventor: John R. Sopka , Kandarp Patel , Lei Rao , Jian Li
IPC: G06K9/36 , H04N19/182 , H04N19/156 , H04N19/17 , H04N19/88 , H04N1/41 , H04N1/417
Abstract: An apparatus comprises: a receiver configured to receive an image; and a processor coupled to the receiver and configured to: obtain pixels of the image; reorder the pixels to create reordered pixels; generate a first sub-image and a second sub-image using the reordered pixels; generate a first instruction to store the first sub-image in a first sub-image node; and generate a second instruction to store the second sub-image in a second sub-image node; and a transmitter coupled to the processor and configured to transmit the first instruction and the second instruction to a database.
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公开(公告)号:US10029698B2
公开(公告)日:2018-07-24
申请号:US15213532
申请日:2016-07-19
Applicant: Futurewei Technologies, Inc.
Inventor: Lei Rao , Jian Li , Ron-Chung Hu
Abstract: A system and method for performing self-learning for adaptively achieving passenger comfort enhancement in an autonomous vehicle. The system comprises a plurality of sensor inputs. Each sensor input provides data representative of voice responses and image responses from a passenger in the vehicle. A controller is coupled to the plurality of sensor inputs. The controller generates and updates a reward function that includes a plurality of driving state transitions. The reward function is updated based on destination information and the data representative of the voice and image responses. The controller further generates a goal function that determines an optimized driving state transition updates the goal function based on the updated reward function and a previous goal function. The controller also generates a vehicle speed control signal, based on the updated goal function, to control the speed of the autonomous vehicle.
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8.
公开(公告)号:US20170176955A1
公开(公告)日:2017-06-22
申请号:US14970906
申请日:2015-12-16
Applicant: Futurewei Technologies, Inc.
Inventor: Lei Rao , Jian Li , Jiafeng Zhu , Ron-Chung Hu
CPC classification number: G05B13/026 , H02J3/00 , H02J2003/003 , H04L43/08
Abstract: A method implemented in a network element (NE) configured to operate as an Ensemble Information Broker (EIB) within a distributed data and energy storage internet architecture comprising collecting energy data indicating a flow of energy, an amount of energy consumed and generated by devices; collecting human presence data; collecting human activity data; predicting future energy consumption requirements and generation by employing prediction algorithms and analyzing the collected data; generating a set of control commands based on the predicted future energy consumption requirements and energy generation as applied to a cost function; transmitting the set of control commands to the corresponding devices; transmitting a broadcast message to determine an external NE to establish as a friend connection based on a user preference; transmitting a request to establish a friend connection with the determined NE; and transmitting the human presence data to the external NE when the friend connection is established.
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公开(公告)号:US10592785B2
公开(公告)日:2020-03-17
申请号:US15647748
申请日:2017-07-12
Applicant: Futurewei Technologies, Inc.
Inventor: Yingxuan Zhu , Lifeng Liu , Xiaotian Yin , Jun Zhang , Jian Li
Abstract: Methods, apparatus, and systems are provided for integrated driver expression recognition and vehicle interior environment classification to detect driver condition for safety. A method includes obtaining an image of a driver of a vehicle and an image of an interior environment of the vehicle. Using a machine learning method, the images are processed to classify a condition of the driver and of the interior environment of the vehicle. The machine learning method includes general convolutional neural network (CNN) and CNN with adaptive filters. The adaptive filters are determined based on influence of filters. The classification results are combined and compared with predetermined thresholds to determine if a decision can be made based on existing information. Additional information is requested by self-motivated learning if a decision cannot be made, and safety is determined based on the combined classification results. A warning is provided to the driver based on the safety determination.
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公开(公告)号:US20190019068A1
公开(公告)日:2019-01-17
申请号:US15647748
申请日:2017-07-12
Applicant: Futurewei Technologies, Inc.
Inventor: Yingxuan Zhu , Lifeng Liu , Xiaotian Yin , Jun Zhang , Jian Li
Abstract: Methods, apparatus, and systems are provided for integrated driver expression recognition and vehicle interior environment classification to detect driver condition for safety. A method includes obtaining an image of a driver of a vehicle and an image of an interior environment of the vehicle. Using a machine learning method, the images are processed to classify a condition of the driver and of the interior environment of the vehicle. The machine learning method includes general convolutional neural network (CNN) and CNN with adaptive filters. The adaptive filters are determined based on influence of filters. The classification results are combined and compared with predetermined thresholds to determine if a decision can be made based on existing information. Additional information is requested by self-motivated learning if a decision cannot be made, and safety is determined based on the combined classification results. A warning is provided to the driver based on the safety determination.
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