Meiling Wang, Yong Yu, Qizhen Wang, Yi Yang, Tong Liu
{"title":"The construction method of GIS for autonomous vehicles","authors":"Meiling Wang, Yong Yu, Qizhen Wang, Yi Yang, Tong Liu","doi":"10.1109/ASCC.2013.6606147","DOIUrl":null,"url":null,"abstract":"In order to achieve the dynamic construction of GIS which shows the environment information around the driving autonomous vehicle, this paper introduces a method, including the data fusion of laser radar, GPS and IMU, the registration of point cloud data, the rasterisation and the extraction of isosurface. The geographic objects which influence the driving characteristics of the autonomous vehicle can be extracted from the processed isosurface according to the analysis of the feature of the autonomous vehicle. This construction method improves some limited ability of GIS, which can provide the navigation information for the autonomous vehicle.","PeriodicalId":93267,"journal":{"name":"Asian Control Conference. Asian Control Conference","volume":"88 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Control Conference. Asian Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASCC.2013.6606147","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
In order to achieve the dynamic construction of GIS which shows the environment information around the driving autonomous vehicle, this paper introduces a method, including the data fusion of laser radar, GPS and IMU, the registration of point cloud data, the rasterisation and the extraction of isosurface. The geographic objects which influence the driving characteristics of the autonomous vehicle can be extracted from the processed isosurface according to the analysis of the feature of the autonomous vehicle. This construction method improves some limited ability of GIS, which can provide the navigation information for the autonomous vehicle.
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