US 12,002,309 B2
Systems and methods for managing vehicle data
Evangelos Simoudis, Menlo Park, CA (US)
Assigned to Synapse Partners, LLC, Menlo Park, CA (US)
Filed by Synapse Partners, LLC, Menlo Park, CA (US)
Filed on Aug. 3, 2020, as Appl. No. 16/983,478.
Application 16/983,478 is a continuation of application No. PCT/US2019/060094, filed on Nov. 6, 2019.
Claims priority of provisional application 62/875,919, filed on Jul. 18, 2019.
Claims priority of provisional application 62/852,769, filed on May 24, 2019.
Claims priority of provisional application 62/799,697, filed on Jan. 31, 2019.
Claims priority of provisional application 62/757,517, filed on Nov. 8, 2018.
Prior Publication US 2020/0364953 A1, Nov. 19, 2020
Int. Cl. G07C 5/08 (2006.01); B60K 35/00 (2006.01); B60W 60/00 (2020.01); G06F 16/2457 (2019.01); G06N 5/02 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G07C 5/00 (2006.01)
CPC G07C 5/085 (2013.01) [B60K 35/00 (2013.01); B60W 60/001 (2020.02); G06F 16/24573 (2019.01); G06N 5/02 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G07C 5/008 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer system for managing vehicle data, wherein the vehicle data is generated and/or stored in a vehicle, the computer system comprising:
a data repository comprising computer-readable data storage and configured to store (i) application data related to one or more applications that generate one or more subsets of said vehicle data, and (ii) entity data related to one or more remote entities that request said one or more subsets of said vehicle data, wherein said data repository is local to said vehicle where said vehicle data is collected or generated;
a knowledge base configured to store a machine learning-based predictive model and user-defined rules, wherein the machine learning-based predictive model and the user-defined rules are used at the vehicle for determining a data transmission rule comprising: (i) a selected portion of said vehicle data to be transmitted; (ii) a timing for transmitting said selected portion of said vehicle data wherein the timing is determined based on the machine learning-based predictive model and/or the user-defined rules; and (iii) a remote entity of said one or more remote entities that is designated to receive said selected portion of said vehicle data; and
a transmission module configured to transmit said selected portion of said vehicle data based at least in part on said application data, said entity data, and said data transmission rule, wherein said selected portion of said vehicle data is retrieved from said data repository based, at least in part, on metadata of said subset of said vehicle data.