US 12,229,672 B2
Detecting domain changes with domain classifiers in autonomous vehicles
Pablo Nascimento da Silva, Rio de Janeiro (BR); and Hugo de Oliveira Barbalho, Rio de Janeiro (BR)
Assigned to EMC IP Holding Company LLC, Hopkinton, MA (US)
Filed by EMC IP Holding Company LLC, Hopkinton, MA (US)
Filed on Oct. 21, 2021, as Appl. No. 17/451,778.
Prior Publication US 2023/0128919 A1, Apr. 27, 2023
Int. Cl. G06V 10/00 (2022.01); G06F 18/214 (2023.01); G06F 18/241 (2023.01); G06N 3/08 (2023.01); G06V 10/75 (2022.01)
CPC G06N 3/08 (2013.01) [G06F 18/2155 (2023.01); G06F 18/241 (2023.01); G06V 10/751 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
gathering, by a domain adversarial neural network model deployed in an autonomous vehicle operating in a domain, a dataset that comprises unsegmented and unlabeled image data about the domain;
sampling the dataset to create an adapted domain dataset;
detaching a domain classifier from the domain adversarial neural network;
using the domain classifier as a domain change detector model to predict a class of the unsegmented and unlabeled image data in the adapted domain dataset; and
based on the class, either:
determining that the domain is changed or is unknown; or
determining that the domain has not changed.