DEEP LEARNING-BASED AUTONOMOUS VEHICLE AUDITORY SYSTEM FOR THE VISUALLY IMPAIRED AND METHOD THEREOF

摘要

The deep learning-based self-driving vehicle auditory system and method for the visually impaired according to the embodiment allows the visually impaired to use the autonomous vehicle, and for general users, the autonomous vehicle driving information and status information are intuitively transmitted as an audible signal. The speed of transmitting information to the driver, the speed of information recognition, and the driver's reaction speed can be improved by making it recognized as In addition, autonomous vehicles can be used without visual fatigue, and vehicle status information can be recognized only with auditory signals. It is possible to inform the occupants of a variety of information than the conventional dashboard without compromising the real-time performance of the conventional cluster system. By promptly notifying the visually impaired by visually confirming the condition of the vehicle, such as an accident situation, etc., the accessibility of the autonomous vehicle to the visually impaired is improved. Although the conventional instrument panel is designed for quick access while driving, the system presented in the embodiment is designed for passengers of a fully autonomous vehicle, thereby improving user convenience of an autonomous vehicle.