Rivian Automotive, Inc.
MODEL DEVELOPMENT USING PARALLEL DRIVING DATA COLLECTED FROM MULTIPLE COMPUTING SYSTEMS

Abstract:

Disclosed embodiments include systems, vehicles, and computer-implemented methods for developing a model from parallel sets of driving data to identify the risk level of an event in one of the sets of driving data. In an illustrative embodiment, a system includes a vehicle data system operably coupled with at least one sensor aboard a vehicle to collect vehicle driving data representing driving conduct. A portable data collection module is configured to cause a portable computing system transportable aboard a vehicle to collect portable driving data representing the driving conduct. An evaluation system is configured to receive the portable driving data and the vehicle driving data, assign a risk level to at least one event included in the vehicle driving data, and correlate the vehicle driving data with the portable driving data to identify a pattern in the portable driving data that is associable with the risk level.