Rivian IP Holdings, LLC

Jack O'Grady

Paul McLachlan

Systems and methods for reducing a dataset or telematic load regarding vehicle information of a telematics system while also preserving the ability of a cloud-based server to perform analytics on the reduced dataset that would otherwise require full-fidelity data. A method, according to one implementation, includes the step of obtaining datasets from a plurality of sensors on a vehicle, where the datasets include vehicle-related metrics indicative of operations of the vehicle. The method further includes the step of extracting relevant data from the datasets to reduce a telematic load. Also, the method includes wirelessly transmitting the relevant data to a remote server using an external interface. The step of extracting the relevant data is configured to preserve the ability of the remote server to perform high-fidelity analytics on the relevant data.

Reducing vehicle telematic load while preserving the ability to perform high-fidelity analytics

Disclosed are systems and methods for distributing an operation across vehicles. A data processing system including one or more processors, coupled to memory can identify an operation executable by the data processing system. The data processing system can calculate a duration of a communication channel between the vehicle and a second vehicle and determine that the duration of the communication channel is greater than or equal to a threshold. The data processing system can determine, responsive to the determination that the duration of the communication channel is greater than or equal to the threshold, to split the operation into a first and second process for distributed processing by the vehicle and the second vehicle. The data processing system can transmit, responsive to the determination to split the operation, a request to perform the second process to the second vehicle to cause the second vehicle to execute the second process.

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Venice, CA, United States of America

Jack O'Grady