US 12,131,551 B2
Systems and methods for mitigating mis-detections of tracked objects in the surrounding environment of a vehicle
Gary Fay, Hermosa Beach, CA (US); and Krishna Prasad Varadarajan Srinivasan, Mountain View, CA (US)
Assigned to Rivian IP Holdings, LLC, Irvine, CA (US)
Filed by Rivian IP Holdings, LLC, Irvine, CA (US)
Filed on Dec. 31, 2021, as Appl. No. 17/567,023.
Prior Publication US 2023/0215184 A1, Jul. 6, 2023
Int. Cl. G06V 20/58 (2022.01); B60W 40/105 (2012.01); G06T 7/20 (2017.01); G06T 7/70 (2017.01); G06V 10/25 (2022.01); G06V 10/74 (2022.01)
CPC G06V 20/58 (2022.01) [B60W 40/105 (2013.01); G06T 7/20 (2013.01); G06T 7/70 (2017.01); G06V 10/25 (2022.01); G06V 10/761 (2022.01); B60W 2554/80 (2020.02); G06T 2207/20081 (2013.01); G06T 2207/30252 (2013.01); G06T 2210/12 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, at a processor associated with a vehicle and via one or more image sensors associated with the vehicle, image data associated with an environment surrounding the vehicle, wherein the image data corresponds to a first image captured by the one or more image sensors at a first time;
receiving, at the processor and via the one or more image sensors, additional image data associated with an environment surrounding the vehicle, wherein the additional image data corresponds to a second image captured by the one or more image sensors at a second time after the first time;
determining, by the processor and based on the received additional image data and a machine learning model, that a tracked object identified in the first image is not detected in the second image;
determining, by the processor and based on vehicle data and tracking data of the tracked object, that the tracked object should be present in the second image; and
performing, by the processor, a remedial action on the additional image data to identify the tracked object in the second image.