US 12,013,703 B2
Systems and methods for evaluating autonomous vehicle software interactions for proposed trips
Aaron Scott Chan, San Jose, CA (US); Steve Cielocha, Bloomington, IL (US); and Brian Fields, Phoenix, AZ (US)
Assigned to State Farm Mutual Automobile Insurance Company, Bloomington, IL (US)
Filed by State Farm Mutual Automobile Insurance Company, Bloomington, IL (US)
Filed on Apr. 20, 2023, as Appl. No. 18/304,150.
Application 18/304,150 is a continuation of application No. 17/334,218, filed on May 28, 2021, granted, now 11,662,732.
Application 17/334,218 is a continuation of application No. 16/376,836, filed on Apr. 5, 2019, granted, now 11,048,261, issued on Jun. 29, 2021.
Prior Publication US 2023/0251665 A1, Aug. 10, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G05D 1/00 (2006.01); B60W 50/04 (2006.01); G01C 21/34 (2006.01); G07C 5/00 (2006.01)
CPC G05D 1/0214 (2013.01) [B60W 50/045 (2013.01); G01C 21/3415 (2013.01); G05D 1/0285 (2013.01); G07C 5/008 (2013.01); B60W 2050/046 (2013.01); B60W 2555/20 (2020.02); B60W 2556/50 (2020.02); B60W 2556/65 (2020.02)] 20 Claims
OG exemplary drawing
 
1. A computing device associated with a vehicle and comprising at least one processor configured to:
retrieve environmental conditions data for the vehicle, the environmental conditions data including environmental conditions likely to be experienced by the vehicle;
retrieve current software ecosystem data for the vehicle, the current software ecosystem data including software applications currently onboard the vehicle;
retrieve, from a memory device, aggregated data for a plurality of vehicles including software ecosystem data and environmental conditions data associated with the plurality of vehicles, the aggregated data further including a plurality of correlations relating to the aggregated data;
identify an adverse performance outcome associated with an interaction between at least one of the software applications currently onboard the vehicle and at least one of the environmental conditions likely to be experienced by the vehicle by comparing the environmental conditions data for the vehicle and the current software ecosystem data to the plurality of correlations; and
cause an alert message to be displayed on a display device within the vehicle.