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Patent Agency Ranking
公开(公告)号：US11040695B2
公开(公告)日：2021-06-22
申请号：US16583447
申请日：2019-09-26
Applicant: Intel Corporation
Abstract: Methods, systems and apparatuses may provide for technology that conducts an automated vision analysis of image data associated with an interior of a vehicle cabin, determines a state of a child restraint system (CRS) based on the automated vision analysis, and generates an alert if the state of the CRS does not satisfy one or more safety constraints. In one example, the technology identifies the safety constraint(s) based on a geographic location of the vehicle cabin.
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公开(公告)号：US20210276511A1
公开(公告)日：2021-09-09
申请号：US17326967
申请日：2021-05-21
Applicant: Intel Corporation
Abstract: Methods, systems and apparatuses may provide for technology that conducts an automated vision analysis of image data associated with an interior of a vehicle cabin, determines a state of a child restraint system (CRS) based on the automated vision analysis, and generates an alert if the state of the CRS does not satisfy one or more safety constraints. In one example, the technology identifies the safety constraint(s) based on a geographic location of the vehicle cabin.
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公开(公告)号：US11572035B2
公开(公告)日：2023-02-07
申请号：US17326967
申请日：2021-05-21
Applicant: Intel Corporation
Abstract: Methods, systems and apparatuses may provide for technology that conducts an automated vision analysis of image data associated with an interior of a vehicle cabin, determines a state of a child restraint system (CRS) based on the automated vision analysis, and generates an alert if the state of the CRS does not satisfy one or more safety constraints. In one example, the technology identifies the safety constraint(s) based on a geographic location of the vehicle cabin.
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公开(公告)号：US20220126864A1
公开(公告)日：2022-04-28
申请号：US17434710
申请日：2020-03-27
Applicant: Intel Corporation
Inventor： Hassnaa Moustafa , Darshana D. Salvi , Suhel Jaber , Darshan Iyer , Mehrnaz Khodam Hazrati , Pragya Agrawal , Naveen Aerrabotu , Petrus J. Van Beek , Monica Lucia Martinez-Canales , Patricia Ann Robb , Rita Chattopadhyay , Jeffrey M. Ota , Iman Saleh Moustafa , Soila P. Kavulya , Karthik Reddy Sripathi , Mohamed Eltabakh , Igor Tatourian , Cynthia E. Kaschub , Rita H. Wouhaybi , Ignacio J. Alvarez , Fatema S. Adenwala , Cagri C. Tanriover , Maria S. Elli , David J. Zage , Jithin Sankar Sankaran Kutty , Christopher E. Lopez-Araiza , Magdiel F. Galán-Oliveras , Li Chen , Bahareh Sadeghi , Subramanian Anandaraj , Pradeep Sakhamoori
Abstract: Sensor data is received from a plurality of sensors, where the plurality of sensors includes a first set of sensors and a second set of sensors, and at least a portion of the plurality of sensors are coupled to a vehicle. Control of the vehicle is automated based on at least a portion of the sensor data generated by the first set of sensors. Passenger attributes of one or more passengers within the autonomous vehicles are determined from sensor data generated by the second set of sensors. Attributes of the vehicle are modified based on the passenger attributes and the sensor data generated by the first set of sensors.
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公开(公告)号：US20200017069A1
公开(公告)日：2020-01-16
申请号：US16583447
申请日：2019-09-26
Applicant: Intel Corporation
Abstract: Methods, systems and apparatuses may provide for technology that conducts an automated vision analysis of image data associated with an interior of a vehicle cabin, determines a state of a child restraint system (CRS) based on the automated vision analysis, and generates an alert if the state of the CRS does not satisfy one or more safety constraints. In one example, the technology identifies the safety constraint(s) based on a geographic location of the vehicle cabin.
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