Juan Felipe Medina Lee, Vinicius Trentin, J. Villagrá
{"title":"仿真环境中车辆运动预测的框架","authors":"Juan Felipe Medina Lee, Vinicius Trentin, J. Villagrá","doi":"10.17979/SPUDC.9788497497169.520","DOIUrl":null,"url":null,"abstract":"Efficient testing and validation of software components for highly automate vehicles is one of the key challenges to be solved for their massive deployment. The number of driving situation and environment variables makes validation almost intractable with real vehicles in open roads, and the testing reproducibility can only be achieved via simulation. This manuscript presents a framework and preliminary results for motion prediction of vehicles in a simulation environment that is being currently developed by the AUTOPIA Program.","PeriodicalId":189601,"journal":{"name":"XL Jornadas de Automática: libro de actas (Ferrol, 4-6 de septiembre de 2019)","volume":"436 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Framework for motion prediction of vehicles in a simulation environment\",\"authors\":\"Juan Felipe Medina Lee, Vinicius Trentin, J. Villagrá\",\"doi\":\"10.17979/SPUDC.9788497497169.520\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Efficient testing and validation of software components for highly automate vehicles is one of the key challenges to be solved for their massive deployment. The number of driving situation and environment variables makes validation almost intractable with real vehicles in open roads, and the testing reproducibility can only be achieved via simulation. This manuscript presents a framework and preliminary results for motion prediction of vehicles in a simulation environment that is being currently developed by the AUTOPIA Program.\",\"PeriodicalId\":189601,\"journal\":{\"name\":\"XL Jornadas de Automática: libro de actas (Ferrol, 4-6 de septiembre de 2019)\",\"volume\":\"436 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"XL Jornadas de Automática: libro de actas (Ferrol, 4-6 de septiembre de 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17979/SPUDC.9788497497169.520\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"XL Jornadas de Automática: libro de actas (Ferrol, 4-6 de septiembre de 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17979/SPUDC.9788497497169.520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Framework for motion prediction of vehicles in a simulation environment
Efficient testing and validation of software components for highly automate vehicles is one of the key challenges to be solved for their massive deployment. The number of driving situation and environment variables makes validation almost intractable with real vehicles in open roads, and the testing reproducibility can only be achieved via simulation. This manuscript presents a framework and preliminary results for motion prediction of vehicles in a simulation environment that is being currently developed by the AUTOPIA Program.