{"title":"利用有源三维距离成像装置构建移动机器人室内导航地图","authors":"F. Freyberger, P. Kampmann, G. Schmidt","doi":"10.1109/IROS.1990.262380","DOIUrl":null,"url":null,"abstract":"Presents the related mapping algorithm starting from acquisition of geometrical knowledge from the environment by using a 3D range imaging device. From 3D range images an abstract and compact description of available free motion space is extracted (free space polygon). Subsequent free space polygons are merged into a common map. The effectiveness and correct operation of the presented algorithm is demonstrated by a mapping experiment with the mobile robot MACROBE.<<ETX>>","PeriodicalId":409624,"journal":{"name":"EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Constructing maps for indoor navigation of a mobile robot by using an active 3D range imaging device\",\"authors\":\"F. Freyberger, P. Kampmann, G. Schmidt\",\"doi\":\"10.1109/IROS.1990.262380\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents the related mapping algorithm starting from acquisition of geometrical knowledge from the environment by using a 3D range imaging device. From 3D range images an abstract and compact description of available free motion space is extracted (free space polygon). Subsequent free space polygons are merged into a common map. The effectiveness and correct operation of the presented algorithm is demonstrated by a mapping experiment with the mobile robot MACROBE.<<ETX>>\",\"PeriodicalId\":409624,\"journal\":{\"name\":\"EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IROS.1990.262380\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS.1990.262380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Constructing maps for indoor navigation of a mobile robot by using an active 3D range imaging device
Presents the related mapping algorithm starting from acquisition of geometrical knowledge from the environment by using a 3D range imaging device. From 3D range images an abstract and compact description of available free motion space is extracted (free space polygon). Subsequent free space polygons are merged into a common map. The effectiveness and correct operation of the presented algorithm is demonstrated by a mapping experiment with the mobile robot MACROBE.<>