{"title":"Development of Automated Processing for High-Definition Mapping System","authors":"Prachaya Daruthep, N. Sutthisangiam","doi":"10.23919/ICACT48636.2020.9061433","DOIUrl":null,"url":null,"abstract":"High-Definition (HD) Mapping is a system using Mobile Mapping System (MMS) technique to create HD panoramic point cloud map of the georeferenced location. The process to create the HD maps consists of joint processing of large amount of data originating from various sources. These data go through various post-processing steps using associated software to create a resulting HD point cloud map. To run these processes successfully require an appropriate processing server, a correct flow of processing sequence and validation of the input/output data. These processes are error-prone and time-consuming for human users. This paper is presented to illustrate practicality of an automated processing system for the creation of HD map, which can boost the efficiency of data processing for the whole system.","PeriodicalId":296763,"journal":{"name":"2020 22nd International Conference on Advanced Communication Technology (ICACT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 22nd International Conference on Advanced Communication Technology (ICACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICACT48636.2020.9061433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
High-Definition (HD) Mapping is a system using Mobile Mapping System (MMS) technique to create HD panoramic point cloud map of the georeferenced location. The process to create the HD maps consists of joint processing of large amount of data originating from various sources. These data go through various post-processing steps using associated software to create a resulting HD point cloud map. To run these processes successfully require an appropriate processing server, a correct flow of processing sequence and validation of the input/output data. These processes are error-prone and time-consuming for human users. This paper is presented to illustrate practicality of an automated processing system for the creation of HD map, which can boost the efficiency of data processing for the whole system.
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