	US 12,106,574 B2
	Image segmentation
Ishay Levi, Jerusalem (IL); Asaf Bar Zvi, Yavne (IL); Yonatan Schwartz, Efrat (IL); and Aaron Siegel, Jerusalem (IL)
Assigned to Mobileye Vision Technologies Ltd., Jerusalem (IL)
Filed by MOBILEYE VISION TECHNOLOGIES LTD., Jerusalem (IL)
Filed on Oct. 12, 2021, as Appl. No. 17/499,508.
Application 17/499,508 is a continuation of application No. PCT/US2020/034231, filed on May 22, 2020.
Claims priority of provisional application 62/976,059, filed on Feb. 13, 2020.
Claims priority of provisional application 62/957,009, filed on Jan. 3, 2020.
Claims priority of provisional application 62/852,761, filed on May 24, 2019.
Prior Publication US 2022/0035378 A1, Feb. 3, 2022
Int. Cl. G06V 20/56 (2022.01); G05D 1/00 (2006.01); G06T 7/20 (2017.01); G06T 7/50 (2017.01); G06T 7/70 (2017.01); G06V 20/58 (2022.01); B60R 11/00 (2006.01); B60R 11/04 (2006.01); B60W 60/00 (2020.01)

CPC G06V 20/56 (2022.01) [G05D 1/0246 (2013.01); G06T 7/20 (2013.01); G06T 7/50 (2017.01); G06T 7/70 (2017.01); G06V 20/58 (2022.01); B60R 2011/0026 (2013.01); B60R 11/04 (2013.01); B60W 60/0027 (2020.02); B60W 2420/403 (2013.01); B60W 2554/402 (2020.02); B60W 2554/4026 (2020.02); B60W 2554/4043 (2020.02); B60W 2554/801 (2020.02); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01); G06V 2201/08 (2022.01)]

43 Claims

43. A non-transitory computer-readable medium storing instructions that, when executed by at least one processor, are configured to cause at least one processor to:

receive at least one image captured by a camera of the host vehicle from an environment of the host vehicle;

analyze the at least one image to identify a representation of at least a portion of a first object and a representation of at least a portion of a second object, wherein analyzing the at least one image includes inputting the at least one image into a trained system configured to determine whether one or more pixels of the at least one image is associated with either the first object or the second object;

determine, based on the analysis, at least one aspect of a geometry of the first object and at least one aspect of a geometry of the second object;

generate, based on the at least one aspect of the geometry of the first object, a first label associated with a region of the at least one image including the representation of the first object; and

generate, based on the at least one aspect of the geometry of the second object, a second label associated with a region of the at least one image including the representation of the second object.