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公开(公告)号:US20240248555A1
公开(公告)日:2024-07-25
申请号:US18564254
申请日:2022-03-14
发明人: Saptak Sanyal , Ling Chih (Daniel) Teng , Thomas Gress , Maharaja Sankaralingam , Pixie Ru Jun Tham , Chee Wei Lee , Boon Ching Ng , Jason Choon Leng Tan
摘要: A digital assistant device comprises an input component configured to acquire information from a plurality of users in a predetermined area around the digital assistant device and to output signals indicative of the acquired information, a processing component configured to receive the signals output by the input component and to generate individual user output information for several or each of the users, and an output component configured to output the generated output information uniquely assigned to a particular user in a user-characteristic way.
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公开(公告)号:US20240348897A1
公开(公告)日:2024-10-17
申请号:US18682801
申请日:2022-06-29
CPC分类号: H04N23/13 , G01J5/0025 , G06V10/143 , G06V10/80 , G06V20/59 , H04N23/11 , G01J2005/0077
摘要: A vehicle cabin sensing system comprises an electronic control unit and a camera system. The camera system comprises multiple image sensors, wherein each image sensor provides respective sensor data, a combination circuit configured to combine the sensor data provided by the image sensors into combined sensor data and an interface configured to transmit the combined sensor data to the electronic control unit. The electronic control unit is configured to receive the combined sensor data and to perform vehicle cabin sensing using the combined sensor data.
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公开(公告)号:US20240127477A1
公开(公告)日:2024-04-18
申请号:US18479909
申请日:2023-10-03
发明人: Roozbeh Sanaei , Matthias Horst Meier , Mithun Das , Lei Li , VunPin Wong , Saptak Sanyal
CPC分类号: G06T7/74 , G06T7/251 , G06T7/77 , G06T2207/20076 , G06T2207/30196 , G06T2207/30268
摘要: A method and system for pose estimation includes receiving at least one image frame captured by an imaging device, wherein the imaging device is arranged to image at least one subject; determining one or more candidate positions for each of a plurality of human keypoints, wherein each candidate position is associated with a likelihood that a human keypoint is located at such position; generating one or more combinations of human keypoints based on the determined one or more candidate positions; and determining a pose of each of the at least one subject based at least on the one or more generated combinations of human keypoints.
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