US 12,456,046 B2
Distance determinations using one or more neural networks
Jialiang Wang, Cambrigde, MA (US); Varun Jampani, Nashua, NH (US); Stan Birchfield, Sammamish, WA (US); Charles Loop, Mercer Island, WA (US); and Jan Kautz, Lexington, MA (US)
Assigned to Nvidia Corporation, Santa Clara, CA (US)
Filed by Nvidia Corporation, Santa Clara, CA (US)
Filed on Apr. 20, 2020, as Appl. No. 16/852,944.
Prior Publication US 2021/0326694 A1, Oct. 21, 2021
Int. Cl. G06N 3/08 (2023.01); G06N 3/04 (2023.01)
CPC G06N 3/08 (2013.01) [G06N 3/04 (2013.01)] 30 Claims
OG exemplary drawing
 
1. One or more processors, comprising:
circuitry to use one or more neural networks to generate one or more disparity maps, and to determine depth of one or more objects in one or more stereoscopic images, based, at least in part, on a combination of gradient loss, occlusion loss, and disparity loss calculated using the one or more disparity maps.