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公开(公告)号:US20230237815A1
公开(公告)日:2023-07-27
申请号:US18098245
申请日:2023-01-18
Applicant: APTIV TECHNOLOGIES LIMITED
Inventor: Xuebing ZHANG , Klaus FRIEDRICHS , Markus BUEHREN
CPC classification number: G06V20/593 , G06T7/55 , G06T2207/10028 , G06T2207/30268
Abstract: Computer implemented method for detecting an occupancy of a seat, comprising capturing, by means of an imaging device, a first image of a seat, the image comprising depth data, determining, by means of a processing device, a first height profile along a first line in the first image from the depth data, and comparing, by means of the processing device, the first height profile with a first reference height profile taken along the same first line to determine whether the seat is occupied.
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公开(公告)号:US20200226432A1
公开(公告)日:2020-07-16
申请号:US16735978
申请日:2020-01-07
Applicant: APTIV TECHNOLOGIES LIMITED
Inventor: Ido FREEMAN , Klaus FRIEDRICHS
Abstract: A method for classifying a capture taken by a sensor includes receiving a sequence of a plurality of captures taken by a sensor, each of the captures comprising a plurality of elements; generating, per capture, a plurality of raw probability values, each of the raw probability values being linked to a respective one of a plurality of predetermined classes and indicating the probability that the capture or an element of the capture is associated with the respective class; determining, for a respective one of the captures, a plurality of consolidated probability values in dependence of a plurality of base probability values and a plurality of context probability values, wherein the base probability values represent the raw probability values of the respective capture and the context probability values represent the raw probability values of at least one further capture of the sequence other than the respective capture, the context probability values being normalised according to a normalisation rule; and classifying the respective capture or an element thereof on the basis of the consolidated probability values.
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公开(公告)号:US20230237814A1
公开(公告)日:2023-07-27
申请号:US18095694
申请日:2023-01-11
Applicant: APTIV TECHNOLOGIES LIMITED
Inventor: Klaus FRIEDRICHS , Monika HEIFT , Thomas KURBIEL , Xuebing ZHANG , Amil GEORGE , Markus BUEHREN
CPC classification number: G06V20/593 , G06V10/82 , G06V10/25 , G06V10/34
Abstract: Computer implemented method for detecting a type of seat occupancy, comprising capturing, by means of an imaging device, an image of a seat, the image comprising depth data and intensity data, performing, by means of a processor device, a classifier algorithm on the captured image to determine a level of occupancy, wherein, if the determination indicates that the level of occupancy is above a predetermined threshold, the method comprises processing, by means of the processor device, the depth data with a convolutional neural network, to determine a type of occupation and wherein, if the determination indicates that the level of occupancy is below a predetermined threshold, the method comprises processing, by means of the processor device, the intensity data with a convolutional neural network to determine a type of occupation.
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