{"title":"基于驾驶模拟器的自动驾驶软件平台仿真环境配置","authors":"Hoseung Choi, Dongyeon Yu, Sung-Ho Hwang","doi":"10.1109/ICCAD49821.2020.9260567","DOIUrl":null,"url":null,"abstract":"As the interest in autonomous vehicles increases rapidly, the necessity of an evaluation environment for verifying and evaluating the safety of autonomous vehicles and technology-equipped vehicles is emerging. In order to reflect the increasing number and complexity of electronic systems, various climatic conditions, and driving styles of drivers, various open source simulators have emerged in connection with autonomous driving technology testing. These simulators use 3D maps to perform autonomous driving algorithm tests. This paper proposes a method of generating a 3D point map that is a driving environment of an autonomous driving simulator using a LiDAR sensor provided by a driving simulator.","PeriodicalId":270320,"journal":{"name":"2020 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Simulation Environment Configuration of Autonomous Driving Software Platform Using Driving Simulator\",\"authors\":\"Hoseung Choi, Dongyeon Yu, Sung-Ho Hwang\",\"doi\":\"10.1109/ICCAD49821.2020.9260567\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the interest in autonomous vehicles increases rapidly, the necessity of an evaluation environment for verifying and evaluating the safety of autonomous vehicles and technology-equipped vehicles is emerging. In order to reflect the increasing number and complexity of electronic systems, various climatic conditions, and driving styles of drivers, various open source simulators have emerged in connection with autonomous driving technology testing. These simulators use 3D maps to perform autonomous driving algorithm tests. This paper proposes a method of generating a 3D point map that is a driving environment of an autonomous driving simulator using a LiDAR sensor provided by a driving simulator.\",\"PeriodicalId\":270320,\"journal\":{\"name\":\"2020 International Conference on Control, Automation and Diagnosis (ICCAD)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Control, Automation and Diagnosis (ICCAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAD49821.2020.9260567\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Control, Automation and Diagnosis (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD49821.2020.9260567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simulation Environment Configuration of Autonomous Driving Software Platform Using Driving Simulator
As the interest in autonomous vehicles increases rapidly, the necessity of an evaluation environment for verifying and evaluating the safety of autonomous vehicles and technology-equipped vehicles is emerging. In order to reflect the increasing number and complexity of electronic systems, various climatic conditions, and driving styles of drivers, various open source simulators have emerged in connection with autonomous driving technology testing. These simulators use 3D maps to perform autonomous driving algorithm tests. This paper proposes a method of generating a 3D point map that is a driving environment of an autonomous driving simulator using a LiDAR sensor provided by a driving simulator.