{"title":"构建细胞分解的软件工具","authors":"M. Kloetzer, Narcis Ghita","doi":"10.1109/CASE.2011.6042492","DOIUrl":null,"url":null,"abstract":"We develop a collection of user-friendly MATLAB routines for partitioning a given environment into various types of cell decompositions. The environment is assumed planar, bounded by a convex polygon, and cluttered with an arbitrary number of convex polygonal obstacles. The developed tool implements four cell decomposition types, namely trapezoidal, triangular, polytopal, and rectangular. Some preliminary results on a comparative analysis of these cell decompositions were obtained by using the mentioned implementation.","PeriodicalId":236208,"journal":{"name":"2011 IEEE International Conference on Automation Science and Engineering","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Software tool for constructing cell decompositions\",\"authors\":\"M. Kloetzer, Narcis Ghita\",\"doi\":\"10.1109/CASE.2011.6042492\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We develop a collection of user-friendly MATLAB routines for partitioning a given environment into various types of cell decompositions. The environment is assumed planar, bounded by a convex polygon, and cluttered with an arbitrary number of convex polygonal obstacles. The developed tool implements four cell decomposition types, namely trapezoidal, triangular, polytopal, and rectangular. Some preliminary results on a comparative analysis of these cell decompositions were obtained by using the mentioned implementation.\",\"PeriodicalId\":236208,\"journal\":{\"name\":\"2011 IEEE International Conference on Automation Science and Engineering\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Automation Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CASE.2011.6042492\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Automation Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE.2011.6042492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Software tool for constructing cell decompositions
We develop a collection of user-friendly MATLAB routines for partitioning a given environment into various types of cell decompositions. The environment is assumed planar, bounded by a convex polygon, and cluttered with an arbitrary number of convex polygonal obstacles. The developed tool implements four cell decomposition types, namely trapezoidal, triangular, polytopal, and rectangular. Some preliminary results on a comparative analysis of these cell decompositions were obtained by using the mentioned implementation.
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