{"title":"一种定性空间启发式推理方法及其在复杂区域中的应用","authors":"Haiyan Gong, Shengling Geng, Ping Xie","doi":"10.1109/ICSAI.2017.8248354","DOIUrl":null,"url":null,"abstract":"Qualitative spatial reasoning is a key spotlight in the domains of artificial intelligence, geographic information system, and robotics and so on. In this paper, we proposed a hierarchical qualitative spatial reasoning method for the spatial relations among multiple components in complex region. Firstly, an adjacency hierarchy matrix is defined based on adjacency link graph, which can be mutually exclusive and fully represent the connection relation among n components. Secondly, the heuristic reasoning on the binary hierarchical relations and the algorithm are proposed. Finally we simulate the relations of the robot and obstacles, and provide a basis for making the robot obstacle avoidance scheme, then the validity of this method is proved from theory and practice.","PeriodicalId":285726,"journal":{"name":"2017 4th International Conference on Systems and Informatics (ICSAI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A method of qualitative spatial heuristic reasoning and application for complex region\",\"authors\":\"Haiyan Gong, Shengling Geng, Ping Xie\",\"doi\":\"10.1109/ICSAI.2017.8248354\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Qualitative spatial reasoning is a key spotlight in the domains of artificial intelligence, geographic information system, and robotics and so on. In this paper, we proposed a hierarchical qualitative spatial reasoning method for the spatial relations among multiple components in complex region. Firstly, an adjacency hierarchy matrix is defined based on adjacency link graph, which can be mutually exclusive and fully represent the connection relation among n components. Secondly, the heuristic reasoning on the binary hierarchical relations and the algorithm are proposed. Finally we simulate the relations of the robot and obstacles, and provide a basis for making the robot obstacle avoidance scheme, then the validity of this method is proved from theory and practice.\",\"PeriodicalId\":285726,\"journal\":{\"name\":\"2017 4th International Conference on Systems and Informatics (ICSAI)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 4th International Conference on Systems and Informatics (ICSAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSAI.2017.8248354\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 4th International Conference on Systems and Informatics (ICSAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAI.2017.8248354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method of qualitative spatial heuristic reasoning and application for complex region
Qualitative spatial reasoning is a key spotlight in the domains of artificial intelligence, geographic information system, and robotics and so on. In this paper, we proposed a hierarchical qualitative spatial reasoning method for the spatial relations among multiple components in complex region. Firstly, an adjacency hierarchy matrix is defined based on adjacency link graph, which can be mutually exclusive and fully represent the connection relation among n components. Secondly, the heuristic reasoning on the binary hierarchical relations and the algorithm are proposed. Finally we simulate the relations of the robot and obstacles, and provide a basis for making the robot obstacle avoidance scheme, then the validity of this method is proved from theory and practice.