{"title":"导航算法ORCA的功能体素建模","authors":"M. Loktev, A. Tolok, V. Romakin","doi":"10.51130/graphicon-2020-2-3-56","DOIUrl":null,"url":null,"abstract":"The article considers an example of modeling the ORCA algorithm using the functional-voxel method. An analytical description of the permissible collision zone using the set-theoretic apparatus of Rvachev functions (R-functions) is proposed. Based on graphical image models, an approach to constructing the area of permissible robot speeds on the plane and in space has been developed.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":"214 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Functional-voxel Modeling of Navigation Algorithm ORCA\",\"authors\":\"M. Loktev, A. Tolok, V. Romakin\",\"doi\":\"10.51130/graphicon-2020-2-3-56\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article considers an example of modeling the ORCA algorithm using the functional-voxel method. An analytical description of the permissible collision zone using the set-theoretic apparatus of Rvachev functions (R-functions) is proposed. Based on graphical image models, an approach to constructing the area of permissible robot speeds on the plane and in space has been developed.\",\"PeriodicalId\":344054,\"journal\":{\"name\":\"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2\",\"volume\":\"214 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.51130/graphicon-2020-2-3-56\",\"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 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51130/graphicon-2020-2-3-56","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Functional-voxel Modeling of Navigation Algorithm ORCA
The article considers an example of modeling the ORCA algorithm using the functional-voxel method. An analytical description of the permissible collision zone using the set-theoretic apparatus of Rvachev functions (R-functions) is proposed. Based on graphical image models, an approach to constructing the area of permissible robot speeds on the plane and in space has been developed.