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公开(公告)号:US20250022288A1
公开(公告)日:2025-01-16
申请号:US18219969
申请日:2023-07-10
Applicant: NVIDIA Corporation
Inventor: Sakthivel SIVARAMAN , Arjun GURU , Rajath SHETTY , Shagan SAH , Varsha HEDAU
Abstract: In various examples, sensor data (e.g., image and/or RADAR data) may be used to detect occupants and classify them (e.g., as children or adults) using one or more predictions that represent estimated age (e.g., based on detected limb length, a detected face) and/or detected child presence (e.g., based on detecting an occupied child seat). In some embodiments, multiple predictions generated using multiple machine learning models (and optionally one or more corresponding confidence values) may be combined using a state machine and/or one or more machine learning models to generate a combined assessment of occupant presence and/or age for each occupant and/or supported occupant slot. As such, the techniques described herein may be utilized to detect child presence, detect unattended child presence, determine age or size of a particular occupant, and/or take some responsive action (e.g., trigger an alarm, control temperature, unlock door(s), permit or disable airbag deployment, etc.).