POTHOLE AND ROAD CONDITION CLASSICATION USING HUMAN DRIVEN TELEMETRY
Abstract:
Methods and systems are provided for road condition classification that include one or more sensors configured to obtain sensor data pertaining to operation of a vehicle along a roadway by a human; and one or more processors that are coupled to the one or more sensors and that are configured to at least facilitate analyzing the sensor data as to one or more threshold values pertaining to the operation of the vehicle; and identifying one or more conditions of the roadway, based on the analyzing of the sensor data. Further, learned input is provided to the vehicle control system to operate with lane position behavior similar to a human driven vehicle.
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