Automatic driver modeling for integration of human-controlled vehicles into an autonomous vehicle network

摘要

Automatic driver modeling is used to integrate human-controlled vehicles into an autonomous vehicle network. A driver of a human-controlled vehicle is identified based on behavior patterns of the driver measured by one or more sensors of an autonomous vehicle. A model of the driver is generated based on the behavior patterns of the driver measured by the one or more sensors of the autonomous vehicle. Previously stored behavior patterns of the driver are then retrieved from a database to augment the model of the driver. The model of the driver is then transmitted from the autonomous vehicle to nearby vehicles with autonomous interfaces.

主权项

1. A computer system for controlling an autonomous vehicle, the computer system comprising:
a processor, a system memory, and a bus that couples the system memory to the processor, wherein the processor is configured to perform a method comprising: identifying, by the autonomous vehicle, a driver of a human-controlled vehicle based on behavior patterns of the driver of the human-controlled vehicle measured by one or more sensors of the autonomous vehicle, wherein identifying the driver of the human-controlled vehicle comprises: interrogating the human-controlled vehicle for driver identification data, receiving the driver identification data in response, analyzing registration information of the human-controlled vehicle, and identifying the driver by using a pattern matching algorithm and the registration information; generating a model of the driver of the human-controlled vehicle based on behavior patterns of the driver measured by the one or more sensors of the autonomous vehicle; retrieving previously stored behavior patterns of the driver, based on the identification of the driver, to augment the generated model of the driver; and transmitting the generated model of the driver of the human-controlled vehicle to a second autonomous vehicle.