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

IPC: G06V20/59 ,  G06T7/55

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.

公开(公告)号：US20230343111A1

公开(公告)日：2023-10-26

申请号：US18133055

申请日：2023-04-11

Applicant: APTIV TECHNOLOGIES LIMITED

Inventor： Xuebing ZHANG

IPC: G06V20/59 ,  G06V10/25 ,  G06V40/10

CPC classification number: G06V20/593 ,  G06V10/25 ,  G06V40/10

Abstract: Computer implemented method for detecting an occupancy of a seat within a vehicle cabin, the method comprising capturing, by means of an imaging device, an image of the vehicle cabin, identifying, by means of the processing device, a set of characteristics associated with a seat in the captured image, determining, by means of the processing device, a region associated with the identified seat based on the set of characteristics, wherein the region is configured to cover at least a portion of the seat; and determining a seat occupancy status of the seat by processing information obtained from the corresponding region.

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

IPC: G06V20/59 ,  G06V10/82 ,  G06V10/25 ,  G06V10/34

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.