{"title":"行人导航-为路线创建一个定制的地理数据库","authors":"B. Elias","doi":"10.1109/WPNC.2007.353611","DOIUrl":null,"url":null,"abstract":"In this paper, we present an approach to generate a geodatabase accustomed to the specific needs of pedestrians for navigation applications. One of our goals is to use different existing geodatasets like topographic, cadastral and indoor vector map data and develop methods for deriving automatically an area-wide available geodata set adapted to the needs of pedestrians. Therefore, the data sources have to be investigated as to which parts of their content have relevance for the targeted user scenario. The important data parts are selected and furthermore analyzed with GIS techniques to derive new information. In a last step the separate data layers have to be merged into one geometrically consistent data set using conflation methods, so that a connected graph can be built up and used to compute pedestrian routes via shortest-path algorithms.","PeriodicalId":382984,"journal":{"name":"2007 4th Workshop on Positioning, Navigation and Communication","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"Pedestrian Navigation - Creating a tailored geodatabase for routing\",\"authors\":\"B. Elias\",\"doi\":\"10.1109/WPNC.2007.353611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present an approach to generate a geodatabase accustomed to the specific needs of pedestrians for navigation applications. One of our goals is to use different existing geodatasets like topographic, cadastral and indoor vector map data and develop methods for deriving automatically an area-wide available geodata set adapted to the needs of pedestrians. Therefore, the data sources have to be investigated as to which parts of their content have relevance for the targeted user scenario. The important data parts are selected and furthermore analyzed with GIS techniques to derive new information. In a last step the separate data layers have to be merged into one geometrically consistent data set using conflation methods, so that a connected graph can be built up and used to compute pedestrian routes via shortest-path algorithms.\",\"PeriodicalId\":382984,\"journal\":{\"name\":\"2007 4th Workshop on Positioning, Navigation and Communication\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 4th Workshop on Positioning, Navigation and Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WPNC.2007.353611\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 4th Workshop on Positioning, Navigation and Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WPNC.2007.353611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pedestrian Navigation - Creating a tailored geodatabase for routing
In this paper, we present an approach to generate a geodatabase accustomed to the specific needs of pedestrians for navigation applications. One of our goals is to use different existing geodatasets like topographic, cadastral and indoor vector map data and develop methods for deriving automatically an area-wide available geodata set adapted to the needs of pedestrians. Therefore, the data sources have to be investigated as to which parts of their content have relevance for the targeted user scenario. The important data parts are selected and furthermore analyzed with GIS techniques to derive new information. In a last step the separate data layers have to be merged into one geometrically consistent data set using conflation methods, so that a connected graph can be built up and used to compute pedestrian routes via shortest-path algorithms.