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, comprising:
a processor, a system memory, and a bus that couples various system components including the system memory to the processor, the system configured to perform a method comprising: driving a first autonomous vehicle; receiving, by the processor, a model of a driver of a human-controlled vehicle, wherein the model is based on behavior patterns of the driver measured by one or more sensors of a second autonomous vehicle, wherein the second autonomous vehicle identifies the driver of the human-controlled vehicle by:
interrogating the human-controlled vehicle for driver identification data,receiving the driver identification data in response,analyzing registration information of the human-controlled vehicle, andidentifying the driver by using a pattern matching algorithm; andgenerating 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 second autonomous vehicle; and determining that the human-controlled vehicle is approaching the first autonomous vehicle, and in response altering driving of the first autonomous vehicle based on the model of the driver of the human-controlled vehicle.