US 12,354,366 B2
Full image detection for vehicle navigation
Yaakov Shambik, Jerusalem (IL); Ohad Chitrit, Givatayim (IL); Eran Malach, Jerusalem (IL); and Dan Kufra, 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. 17/499,291.
Application 17/499,291 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 2022/0027642 A1, Jan. 27, 2022
Int. Cl. G06K 9/00 (2022.01); G05D 1/00 (2006.01); G05D 1/249 (2024.01); G06T 7/20 (2017.01); G06T 7/50 (2017.01); G06T 7/70 (2017.01); G06V 20/56 (2022.01); 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); G05D 1/249 (2024.01); 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)] 35 Claims
OG exemplary drawing
 
1. A navigation system for a host vehicle, the system comprising:
at least one processor comprising circuitry and a memory, wherein the memory includes instructions that when executed by the circuitry cause the at least one processor to:
receive at least one image captured by a camera of the host vehicle, the at least one image being representative of an environment of the host vehicle;
analyze one or more pixels of the at least one image to determine whether the one or more pixels represent at least a portion of a target vehicle, and for pixels determined to represent at least a portion of the target vehicle, determine one or more estimated distance values from the one or more pixels to at least one edge of a face of the target vehicle;
determine, based on analysis of the at least one image, whether the target vehicle is carried by another vehicle or a trailer, wherein analyzing the at least one image includes inputting the at least one image into a trained system configured to determine whether vehicles represented in images are carried vehicles; and
generate, based on the analysis of the one or more pixels, including the determined one or more distance values associated with the one or more pixels and the determination whether the target vehicle is carried by another vehicle or a trailer, at least a portion of a boundary relative to the target vehicle.