US 12,462,586 B2
Occupant evaluation using multi-modal sensor fusion for in-cabin monitoring systems and applications
Sakthivel Sivaraman, Sunnyvale, CA (US); Rajath Shetty, Sunnyvale, CA (US); Hairong Jiang, Campbell, CA (US); Arjun Guru, Mountain View, CA (US); and Yuzhuo Ren, Sunnyvale, CA (US)
Assigned to NVIDIA Corporation, Santa Clara, CA (US)
Filed by NVIDIA Corporation, Santa Clara, CA (US)
Filed on Jul. 10, 2023, as Appl. No. 18/349,827.
Prior Publication US 2025/0022289 A1, Jan. 16, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 20/59 (2022.01); G06T 7/50 (2017.01); G06V 40/10 (2022.01)
CPC G06V 20/59 (2022.01) [G06T 7/50 (2017.01); G06V 40/10 (2022.01); G06T 2207/30268 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A processor comprising:
one or more processing units to:
generate a first three-dimensional pose estimate of at least a portion of an occupant of a machine based at least on two-dimensional optical image data representative of at least a portion of an interior of the machine;
determine a depth corresponding to one or more kinematic elements of the occupant based at least on a correlation of one or more points of point cloud depth data to the first three-dimensional pose estimate;
scale the first three-dimensional pose estimate to a second three-dimensional pose element based at least on the depth corresponding to the one or more kinematic elements of the occupant to determine at least one characteristic representative of a size of the occupant; and
control at least one operation of the machine based at least on the at least one characteristic of the size of the occupant.