{"title":"A Study on the Application of Advanced Acoustic Information Technology for the Completion of Autonomous Driving Vehicles","authors":"I. Ahn","doi":"10.46338/ijetae0223_10","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Emerging Technology and Advanced Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46338/ijetae0223_10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.