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1.发明申请公开(公告)号：US20180216839A1
公开(公告)日：2018-08-02
申请号：US15546166
申请日：2017-02-08
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
CPC classification number: F24F6/12 , F24F6/00 , F24F11/63 , F24F11/70 , F24F11/89 , F24F2110/20 , F24F2221/12 , F24F2221/42
Abstract: An air humidifying device and a moving method thereof, an air humidifying system and a control method thereof, and a monitoring system are disclosed. The moving method includes: determining a target region to be humidified, the target region being any one of N to-be-humidified regions, and N being an integer greater than or equal to 2; determining movement trace information of the air humidifying device moving towards the target region; moving to the target region according to the movement trace information; and humidifying the target region. The method is used in a humidifying process of the air humidifying device, which not only expands the scope of air humidification, but also makes the air humidifying device move flexibly.
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公开(公告)号：US20210224558A1
公开(公告)日：2021-07-22
申请号：US16097736
申请日：2018-03-14
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Xiaojun TANG , Haijun SU
Abstract: Embodiments of the disclosure provide an object detection method and device. The object detection method includes: extracting features of an image; classifying the image by each level of classifiers of a cascade classifier according to the features of the image, and calculating a classification score of the image in each level of the classifiers of the cascade classifier according to a classification result; and calculating, according to the classification score, a cascade score of the image in a corresponding level of the cascade classifier, comparing the cascade score in the corresponding level with a cascade threshold of the corresponding level, and judging the presence of an object in the image according to a comparison result.
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Patent Agency Ranking
公开(公告)号：US20200050187A1
公开(公告)日：2020-02-13
申请号：US16599983
申请日：2019-10-11
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Abstract: The present application discloses a delivery method and a delivery control device. The delivery method includes steps S1 to S3. In the step S1, request information sent by a user is acquired, the request information including user location information which indicates a current position of the user. In the Step S2, a delivery apparatus for the user is selected among at least two types of delivery apparatuses according to the user location information. In the Step S3, the selected delivery apparatus is controlled to deliver an article or service to the user.
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公开(公告)号：US20180136648A1
公开(公告)日：2018-05-17
申请号：US15813659
申请日：2017-11-15
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
CPC classification number: G05D1/0027 , B64C39/024 , B64C2201/128 , B64C2201/145 , B64C2201/146 , G01C21/3453 , G05D1/0291 , G05D1/101 , G06Q10/083
Abstract: The present application discloses a delivery method and a delivery control device. The delivery method includes steps S1 to S3. In the step S1, request information sent by a user is acquired, the request information including user location information which indicates a current position of the user. In the Step S2, a delivery apparatus for the user is selected among at least two types of delivery apparatuses according to the user location information. In the Step S3, the selected delivery apparatus is controlled to deliver an article or service to the user.
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公开(公告)号：US20210166042A1
公开(公告)日：2021-06-03
申请号：US16066799
申请日：2017-10-24
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Haijun SU , Xiaojun TANG
Abstract: The disclosure provides an objective identification device, comprising: a classifier training circuit configured to extract objective characteristics based on training samples and perform offline training based on the objective characteristics to obtain a classifier; and a calculation circuit is configured to identify an objective in an image based on a particle swarm optimization algorithm, wherein each of particles is defined as an object having a predefined size in the image; and a fitness value of each of particles is calculated based on the classifier and the objective characteristics of the particle in the particle swarm optimization algorithm, the fitness value representing a probability that the particle belongs to the objective. The disclosure also provides an objective identification method and driving assistance device. According to the disclosure, not only the identification rate can be increased but also application scenarios having different identification rate requirements can be satisfied.
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6.发明申请公开(公告)号：US20190088011A1
公开(公告)日：2019-03-21
申请号：US15986947
申请日：2018-05-23
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Abstract: The present disclosure provides a method, a device, a terminal, a system and a vehicle for visualization of vehicle's blind spot. The method includes: acquiring real-time image data in front of the vehicle; creating a Three-Dimension (3D) map with the acquired image data; determining a current location of the vehicle in the 3D map; acquiring the relative location information between the driver and the sight-blocking object that blocks the vision of the driver; determining the blind spot in the vision of the driver in connection with structure information of the sight-blocking object and the relative location information between the driver and the sight-blocking object that blocks the vision of the driver; and determining environmental information of the blind spot in the vision in accordance with the 3D map, the current location of the vehicle in the 3D map and the blind spot in the vision of the driver.
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公开(公告)号：US20210225025A1
公开(公告)日：2021-07-22
申请号：US16097645
申请日：2018-02-26
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Abstract: A method for positioning an intelligent terminal apparatus comprises: acquiring data points scanned by a position detection device in the intelligent terminal apparatus at the current position of the intelligent terminal apparatus; converting valid data points into segment features to obtain a first set of segment features; and converting point features in an established map of the intelligent terminal apparatus into segment features to obtain a second set of segment features; selecting, from the first and second set of segment features, segments having the same position relationship respectively to form a first and a second candidate subset of the first and the second set of segment features respectively; and determining a transformation matrix that matches the first candidate subset to the second candidate subset, and identifying the current position and the orientation angle of the intelligent terminal apparatus in the established map based on the transformation matrix.
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