{"title":"面向自动驾驶工业车辆平台的物理与虚拟环境双向联合仿真模型","authors":"M. Djoko-Kouam, A. Fougères","doi":"10.11648/j.acis.20231102.12","DOIUrl":null,"url":null,"abstract":": One of the major challenges faced by Industry 4.0 is the use of Automated Guided Vehicles (AGVs) and, more broadly, autonomous mobile robots. While autonomy in road transportation vehicles can already be well characterized, it is a different story for autonomous vehicles used in industries, such as Autonomous Industrial Vehicles (AIVs). The implementation and deployment of AIV fleets in industrial sectors encounter various issues, including vehicle localization, employee acceptance, traffic flow","PeriodicalId":205084,"journal":{"name":"Automation, Control and Intelligent Systems","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards a Bijective Co-simulation Model Between Physical and Virtual Environments, Adapted to a Platform for Autonomous Industrial Vehicles\",\"authors\":\"M. Djoko-Kouam, A. Fougères\",\"doi\":\"10.11648/j.acis.20231102.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": One of the major challenges faced by Industry 4.0 is the use of Automated Guided Vehicles (AGVs) and, more broadly, autonomous mobile robots. While autonomy in road transportation vehicles can already be well characterized, it is a different story for autonomous vehicles used in industries, such as Autonomous Industrial Vehicles (AIVs). The implementation and deployment of AIV fleets in industrial sectors encounter various issues, including vehicle localization, employee acceptance, traffic flow\",\"PeriodicalId\":205084,\"journal\":{\"name\":\"Automation, Control and Intelligent Systems\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Automation, Control and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11648/j.acis.20231102.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation, Control and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/j.acis.20231102.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards a Bijective Co-simulation Model Between Physical and Virtual Environments, Adapted to a Platform for Autonomous Industrial Vehicles
: One of the major challenges faced by Industry 4.0 is the use of Automated Guided Vehicles (AGVs) and, more broadly, autonomous mobile robots. While autonomy in road transportation vehicles can already be well characterized, it is a different story for autonomous vehicles used in industries, such as Autonomous Industrial Vehicles (AIVs). The implementation and deployment of AIV fleets in industrial sectors encounter various issues, including vehicle localization, employee acceptance, traffic flow
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