US 11,900,811 B2
Crowdsourcing road conditions from abnormal vehicle events
Junichi Sato, Yokohama (JP)
Assigned to Lodestar Licensing Group LLC, Evanston, IL (US)
Filed by Micron Technology, Inc., Boise, ID (US)
Filed on Apr. 13, 2022, as Appl. No. 17/719,635.
Application 17/719,635 is a continuation of application No. 16/784,554, filed on Feb. 7, 2020, granted, now 11,328,599.
Prior Publication US 2022/0238022 A1, Jul. 28, 2022
Int. Cl. G08G 1/127 (2006.01); H04W 4/46 (2018.01); G08G 1/16 (2006.01)
CPC G08G 1/164 (2013.01) [G08G 1/127 (2013.01); G08G 1/166 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A system comprising:
an artificial intelligence (AI) system; and
at least one processor configured to:
receive first movement data from a first vehicle associated with an abrupt movement related to at least one of steering or braking by the first vehicle to avoid a hazardous condition, wherein the first movement data is sent by the first vehicle in response to detection by the first vehicle that the abrupt movement by the first vehicle exceeds a threshold;
receive image data associated with the hazardous condition from the first vehicle, wherein the image data is recorded by at least one camera of the first vehicle after the detection that the abrupt movement exceeds the threshold, the image data includes at least one image of an area within a preselected distance of the first vehicle, and the image data is linked to a geographical position detected by the first vehicle;
receive second movement data from a second vehicle approaching the hazardous condition; and
train the AI system using the first movement data, the image data, the geographical position, and the second movement data.