S. K. Jensen, Jens Thomas Vejlby Nielsen, Hua Lu, M. A. Cheema
{"title":"室内外空间:统一建模,最短路径搜索","authors":"S. K. Jensen, Jens Thomas Vejlby Nielsen, Hua Lu, M. A. Cheema","doi":"10.1145/3005422.3005427","DOIUrl":null,"url":null,"abstract":"Graph models are widely used for representing the topology of outdoor space (O-Space) and indoor space (I-Space). However, existing models neglect the intersection between O-Space and I-Space, only allowing for computations such as shortest path and nearest neighbor queries in either O-Space or I-Space, separately. In this paper, we present two different outdoor-indoor space (OI-Space) models allowing queries to operate on a mix of both spaces. The first model keeps the distinct nature of the two spaces intact by having explicit connections between outdoor and indoor spaces. The second model abstracts this distinction away, and provides a unified model of outdoor-indoor space. For each model, we present an algorithm that is able to span the two types of spaces to return the real shortest path between two arbitrary points. The experimental evaluations show that the proposed models and algorithms perform well enough to be usable in practice.","PeriodicalId":173431,"journal":{"name":"Proceedings of the Eighth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness","volume":"279 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Outdoor-indoor space: unified modeling and shortest path search\",\"authors\":\"S. K. Jensen, Jens Thomas Vejlby Nielsen, Hua Lu, M. A. Cheema\",\"doi\":\"10.1145/3005422.3005427\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Graph models are widely used for representing the topology of outdoor space (O-Space) and indoor space (I-Space). However, existing models neglect the intersection between O-Space and I-Space, only allowing for computations such as shortest path and nearest neighbor queries in either O-Space or I-Space, separately. In this paper, we present two different outdoor-indoor space (OI-Space) models allowing queries to operate on a mix of both spaces. The first model keeps the distinct nature of the two spaces intact by having explicit connections between outdoor and indoor spaces. The second model abstracts this distinction away, and provides a unified model of outdoor-indoor space. For each model, we present an algorithm that is able to span the two types of spaces to return the real shortest path between two arbitrary points. The experimental evaluations show that the proposed models and algorithms perform well enough to be usable in practice.\",\"PeriodicalId\":173431,\"journal\":{\"name\":\"Proceedings of the Eighth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness\",\"volume\":\"279 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Eighth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3005422.3005427\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Eighth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3005422.3005427","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Outdoor-indoor space: unified modeling and shortest path search
Graph models are widely used for representing the topology of outdoor space (O-Space) and indoor space (I-Space). However, existing models neglect the intersection between O-Space and I-Space, only allowing for computations such as shortest path and nearest neighbor queries in either O-Space or I-Space, separately. In this paper, we present two different outdoor-indoor space (OI-Space) models allowing queries to operate on a mix of both spaces. The first model keeps the distinct nature of the two spaces intact by having explicit connections between outdoor and indoor spaces. The second model abstracts this distinction away, and provides a unified model of outdoor-indoor space. For each model, we present an algorithm that is able to span the two types of spaces to return the real shortest path between two arbitrary points. The experimental evaluations show that the proposed models and algorithms perform well enough to be usable in practice.