Abstract:
Disclosed are an autonomous vehicle driving system and method that increase probability that a signal of a traffic light will be recognized by using map information built in an autonomous vehicle driving system and a traffic light infrastructure, determine which travel route is allowed according to a camera recognition result and signal information delivered through V2X communication (traveling is allowed from which entrance lane to which exit lane), and enable an autonomous driving vehicle and a traffic light infrastructure to exchange intersection passage route information in order to allow the autonomous driving vehicle to efficiently pass through an intersection.
Abstract:
A system for learning driving information in a vehicle, includes a first camera mounted on an inner ceiling of the vehicle and configured to detect a projected position of a nose of a driver; and a second camera mounted on an inner front of the vehicle and configured to detect a front position of the nose of the driver. Further, the system includes a driver's status information processing unit configured to detect the line of sight of the driver by calibrating an image corresponding to the projected position and an image corresponding to the front position in real time, to analyze information about the line of sight that is detected, and to store the analyzed information in a learning data database.