US 12,403,938 B2
Predicting and responding to cut in vehicles and altruistic responses
Gideon Stein, Jerusalem (IL)
Assigned to Mobileye Vision Technologies Ltd., Jerusalem (IL)
Filed by Mobileye Vision Technologies Ltd., Jerusalem (IL)
Filed on May 3, 2024, as Appl. No. 18/654,371.
Application 18/654,371 is a continuation of application No. 17/710,177, filed on Mar. 31, 2022, granted, now 11,993,290.
Application 17/710,177 is a continuation of application No. 16/935,498, filed on Jul. 22, 2020, granted, now 11,372,407, issued on Jun. 28, 2022.
Application 16/935,498 is a continuation of application No. 16/598,429, filed on Oct. 10, 2019, abandoned.
Application 16/598,429 is a continuation of application No. 15/360,141, filed on Nov. 23, 2016, granted, now 10,452,069, issued on Oct. 22, 2019.
Claims priority of provisional application 62/361,343, filed on Jul. 12, 2016.
Claims priority of provisional application 62/260,281, filed on Nov. 26, 2015.
Prior Publication US 2024/0286649 A1, Aug. 29, 2024
Int. Cl. B60W 60/00 (2020.01); G05D 1/00 (2006.01); G05D 1/243 (2024.01); G05D 1/249 (2024.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G08G 1/0962 (2006.01); G08G 1/16 (2006.01)
CPC B60W 60/00274 (2020.02) [B60W 60/0016 (2020.02); G05D 1/0246 (2013.01); G05D 1/0251 (2013.01); G05D 1/2435 (2024.01); G05D 1/249 (2024.01); G06V 20/58 (2022.01); G06V 20/588 (2022.01); G08G 1/09623 (2013.01); G08G 1/09626 (2013.01); G08G 1/167 (2013.01); B60W 2420/403 (2013.01); B60W 2552/53 (2020.02)] 23 Claims
OG exemplary drawing
 
1. A vehicle navigation system for a host vehicle, the vehicle navigation system comprising:
at least one processing device comprising circuitry and a memory, wherein the memory includes instructions that when executed by the circuitry cause the at least one processing device to:
receive image data captured by at least one image capture device of the host vehicle, the image data being representative of an environment of the host vehicle;
identify, based on analysis of the image data, a target vehicle traveling in a lane adjacent to a lane in which the host vehicle is traveling;
determine, based on analysis of the image data, that a predetermined cut in sensitivity change factor is present in an environment of the host vehicle, wherein determining that the predetermined cut in sensitivity change factor is present comprises:
tracking a representation of at least one feature in the environment of the host vehicle across multiple image frames, and
generating measurements of the at least one feature using one or more time-based observations; and
based on the determination that the predetermined cut in sensitivity change factor is present, cause a navigational response in the host vehicle.