先进声学信息技术在自动驾驶车辆完成中的应用研究

I. Ahn
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摘要

由于自动驾驶汽车直接关系到人类的生命,因此必须在安全驾驶方面付出最大的努力,达到近乎完美的程度。此外,为了最佳的安全性,任何技术都应该借鉴、测试和应用。本文将重点阐述上一篇文章提出的将声音信息应用到自动驾驶车辆研究中的方法。由于需要应用于自动驾驶汽车的声音信息非常庞大,因此必须将其制成大数据,并且必须以各种精确的方式使用,因此必须将其制成基于AI的IOT。健全的信息技术必须配备能够根据地点准确判断时间、季节和天气等变化条件的技术。声学信息技术在很大程度上可以分为ES(环境声音)和TS(事物声音)。环境声是用声音信息探测车辆行驶的道路或地面等周围环境的状况。物体声音是用声音信息探测车辆周围固定或移动的物体。未来,各种声音信息技术(Sound Information Technology)的方法有望为实现自动驾驶汽车(Autonomous Driving vehicles)的完成阶段——自由驾驶汽车(Free Driving vehicles)时代做出巨大贡献。
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A Study on the Application of Advanced Acoustic Information Technology for the Completion of Autonomous Driving Vehicles
Since Autonomous Driving Vehicles are directly related to human life, it is necessary to put the utmost effort into safe driving to the point of being almost perfect. Also, for the best safety, any technology should be borrowed, tested, and applied. In this paper, the method of applying sound information to the Autonomous Driving Vehicles research presented last time will be emphasized and specified. Since the sound information to be applied to Autonomous Driving Vehicles is vast, it must be made into big data and must be used in various and precise ways, so it must be made into IOT based on AI. Sound Information Technology must be equipped with technology that can perfectly judge changing conditions such as time, season, and weather depending on the location. Acoustic Information Technology can be largely divided into ES(Environmental Sounds) and TS(Things Sounds). Environmental Sound is to detect the conditions of the surrounding environment including the road or the ground on which the vehicle is traveling with sound information. Things Sounds is to detect fixed or moving Things around the vehicle with sound information. In the future, it is expected that various methods of Sound Information Technology will be able to contribute greatly to the achievement of the era of Free Driving vehicles, which is the completion stage of Autonomous Driving Vehicles.
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