{"title":"智能工厂自动转运车辆高清地图的更新","authors":"Muhammed Oguz Tas, Hasan Serhan YAVUZ, A. Yazıcı","doi":"10.1109/CEIT.2018.8751934","DOIUrl":null,"url":null,"abstract":"Autonomous robots are increasingly used in many fields to perform some special tasks. Autonomous transfer vehicles (ATV) in smart factories are one of the most critical components of industry 4.0. Mapping is the key process for the long term successful operation of ATVs. Although, robotic mapping is enough for the autonomous navigation of an ATV, high definition (HD) maps are required to perform the perfect behavior and ensure better interactions with the environment. HD maps can be created manually, but updating the maps is an open problem for sustainability of the performance. In this study, an HD-map update strategy is proposed for ATVs that operate in smart factories.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Updating HD-Maps for Autonomous Transfer Vehicles in Smart Factories\",\"authors\":\"Muhammed Oguz Tas, Hasan Serhan YAVUZ, A. Yazıcı\",\"doi\":\"10.1109/CEIT.2018.8751934\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Autonomous robots are increasingly used in many fields to perform some special tasks. Autonomous transfer vehicles (ATV) in smart factories are one of the most critical components of industry 4.0. Mapping is the key process for the long term successful operation of ATVs. Although, robotic mapping is enough for the autonomous navigation of an ATV, high definition (HD) maps are required to perform the perfect behavior and ensure better interactions with the environment. HD maps can be created manually, but updating the maps is an open problem for sustainability of the performance. In this study, an HD-map update strategy is proposed for ATVs that operate in smart factories.\",\"PeriodicalId\":357613,\"journal\":{\"name\":\"2018 6th International Conference on Control Engineering & Information Technology (CEIT)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 6th International Conference on Control Engineering & Information Technology (CEIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEIT.2018.8751934\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEIT.2018.8751934","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Updating HD-Maps for Autonomous Transfer Vehicles in Smart Factories
Autonomous robots are increasingly used in many fields to perform some special tasks. Autonomous transfer vehicles (ATV) in smart factories are one of the most critical components of industry 4.0. Mapping is the key process for the long term successful operation of ATVs. Although, robotic mapping is enough for the autonomous navigation of an ATV, high definition (HD) maps are required to perform the perfect behavior and ensure better interactions with the environment. HD maps can be created manually, but updating the maps is an open problem for sustainability of the performance. In this study, an HD-map update strategy is proposed for ATVs that operate in smart factories.