US 11,851,014 B2
In-cabin hazard prevention and safety control system for autonomous machine applications
Atousa Torabi, Santa Clara, CA (US); Sakthivel Sivaraman, Santa Clara, CA (US); Niranjan Avadhanam, Saratoga, CA (US); and Shagan Sah, Santa Clara, CA (US)
Assigned to NVIDIA Corporation, Santa Clara, CA (US)
Filed by NVIDIA Corporation, Santa Clara, CA (US)
Filed on Sep. 7, 2022, as Appl. No. 17/939,613.
Application 17/939,613 is a continuation of application No. 16/915,577, filed on Jun. 29, 2020, granted, now 11,485,308.
Prior Publication US 2022/0410830 A1, Dec. 29, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. B60R 21/017 (2006.01); B60R 21/013 (2006.01); B60W 60/00 (2020.01); G06N 3/02 (2006.01); B60W 50/14 (2020.01); B60W 50/00 (2006.01); B60R 21/01 (2006.01)
CPC B60R 21/017 (2013.01) [B60R 21/013 (2013.01); B60W 50/14 (2013.01); B60W 60/005 (2020.02); G06N 3/02 (2013.01); B60R 2021/01211 (2013.01); B60R 2021/01286 (2013.01); B60W 2050/0062 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
determining, using one or more neural networks and based at least on image data representative of an image depicting an occupant of an autonomous or semi-autonomous machine, one or more key point locations associated with the occupant;
determining, based at least on the one or more key point locations, a position and a size of the occupant; and
performing, based at least on the position of the occupant and the size of the occupant, one or more operations associated with the autonomous or semi-autonomous machine.