A system may include a first neural network trained to determine an operating state of a vehicle from data about the vehicle captured in an operating environment of the vehicle, where the first neural network processes information about the vehicle captured by at least one Internet-of things device while the vehicle is operating. A data structure facilitates determining operating parameters configured to influence an operating state of a vehicle. A second neural network operates to: a) process information about a state of the rider occupying the vehicle, b) determine a correlation between the operating state and an effect on the state of the rider, and c) improve at least one of the determined operating parameters of the vehicle based on i) the determined operating state of the vehicle and ii) the correlation between the operating state of the vehicle and the effect on the state of the rider.
Dual neural network optimizing state of rider based IoT monitored operating state of vehicle
Patent
Electronic Resource
DUAL NEURAL NETWORK OPTIMIZING STATE OF RIDER BASED IOT MONITORED OPERATING STATE OF VEHICLE
European Patent Office | 2024
|European Patent Office | 2023
|European Patent Office | 2023
|European Patent Office | 2024
|European Patent Office | 2024
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