Abstract: Systems, methods, and autonomous vehicles for automated lane conflict estimation may obtain map data associated with a map of a geographic location including a roadway, determine, based on the map data, a relative lane geometry between a first lane segment and a second lane segment of a pair of overlapping lane segments; process, with a machine learning model, the relative lane geometry and a type of a traffic signal or sign associated with the pair of overlapping lane segments to generate a prediction of whether the first lane segment yields to the second lane segment for a given state of the traffic signal or sign; and use the prediction to at least one of generate a map including the lane segment associated with the prediction, facilitate at least one autonomous driving operation of an autonomous vehicle, or any combination thereof.

Abstract: A driver's vehicle sound perception method during the autonomous traveling of a driver sound control system applied to an autonomous vehicle is provided. The method includes determining a mobile device and Bluetooth earphones held by a driver within a cabin, and setting the driver position and face direction for the driver, a driver relative distance for the individual controller, and the sound pressure and cycle of an alert for a failure situation of the individual controller by a DSM controller of the DSM system. The method confirms the utterance position of the alert for the driver by an AVNT controller of the AVNT system, and reproduces the failure situation of the individual controller by a vehicle speaker or the Bluetooth earphones to reproduce the vehicle alert through the left/right Bluetooth earphones in the driver's ears at autonomous Lv.4, freeing the driver from driving.