Yu. M. Furletov, A. Ivanov, S. Shadrin, M. A. Toporkov
{"title":"自动驾驶应用中的声源到达方向估计","authors":"Yu. M. Furletov, A. Ivanov, S. Shadrin, M. A. Toporkov","doi":"10.1109/TIRVED56496.2022.9965523","DOIUrl":null,"url":null,"abstract":"In the article, the authors introduce method for sound source direction of arrival estimation in application to autonomous driving systems. Since autonomous vehicles become more and more popular, problem of safety came to the front and became one of the biggest issues for implementation of autonomous cars into urban environment. One of the most important safety parameters for vehicle is precise environment representation. Environment around the vehicle is not only visible, but also audible, most of human drivers can hear and use auditory for environment representation during driving. That's why authors introduce sound source direction of arrival estimation algorithm which can be further implemented to the sound processing systems of autonomous vehicles.","PeriodicalId":173682,"journal":{"name":"2022 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Sound Source Direction of Arrival Estimation for Autonomous Driving Applications\",\"authors\":\"Yu. M. Furletov, A. Ivanov, S. Shadrin, M. A. Toporkov\",\"doi\":\"10.1109/TIRVED56496.2022.9965523\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the article, the authors introduce method for sound source direction of arrival estimation in application to autonomous driving systems. Since autonomous vehicles become more and more popular, problem of safety came to the front and became one of the biggest issues for implementation of autonomous cars into urban environment. One of the most important safety parameters for vehicle is precise environment representation. Environment around the vehicle is not only visible, but also audible, most of human drivers can hear and use auditory for environment representation during driving. That's why authors introduce sound source direction of arrival estimation algorithm which can be further implemented to the sound processing systems of autonomous vehicles.\",\"PeriodicalId\":173682,\"journal\":{\"name\":\"2022 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TIRVED56496.2022.9965523\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TIRVED56496.2022.9965523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sound Source Direction of Arrival Estimation for Autonomous Driving Applications
In the article, the authors introduce method for sound source direction of arrival estimation in application to autonomous driving systems. Since autonomous vehicles become more and more popular, problem of safety came to the front and became one of the biggest issues for implementation of autonomous cars into urban environment. One of the most important safety parameters for vehicle is precise environment representation. Environment around the vehicle is not only visible, but also audible, most of human drivers can hear and use auditory for environment representation during driving. That's why authors introduce sound source direction of arrival estimation algorithm which can be further implemented to the sound processing systems of autonomous vehicles.