{"title":"一种基于RGB-D相机的同步定位与制图方法","authors":"Xin Liu, B. Guo, Chao Meng","doi":"10.1109/ICARCV.2016.7838786","DOIUrl":null,"url":null,"abstract":"Autonomous UAV must rely on the navigation system to fly in the indoor environment. However, the traditional navigation system such as GPS cannot be used in the indoor environment. A method of Simultaneous Location and Mapping (SLAM) based on RGB-D cameras is used to solve this matter. We adopt the RGB-D SLAM algorithm to locate the camera and build the 3D map of the environment in this paper. The framework and process of the algorithm are described in detail. The experiments show that the RGB-D SLAM algorithm can achieve good results.","PeriodicalId":128828,"journal":{"name":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A method of simultaneous location and mapping based on RGB-D cameras\",\"authors\":\"Xin Liu, B. Guo, Chao Meng\",\"doi\":\"10.1109/ICARCV.2016.7838786\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Autonomous UAV must rely on the navigation system to fly in the indoor environment. However, the traditional navigation system such as GPS cannot be used in the indoor environment. A method of Simultaneous Location and Mapping (SLAM) based on RGB-D cameras is used to solve this matter. We adopt the RGB-D SLAM algorithm to locate the camera and build the 3D map of the environment in this paper. The framework and process of the algorithm are described in detail. The experiments show that the RGB-D SLAM algorithm can achieve good results.\",\"PeriodicalId\":128828,\"journal\":{\"name\":\"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICARCV.2016.7838786\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARCV.2016.7838786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method of simultaneous location and mapping based on RGB-D cameras
Autonomous UAV must rely on the navigation system to fly in the indoor environment. However, the traditional navigation system such as GPS cannot be used in the indoor environment. A method of Simultaneous Location and Mapping (SLAM) based on RGB-D cameras is used to solve this matter. We adopt the RGB-D SLAM algorithm to locate the camera and build the 3D map of the environment in this paper. The framework and process of the algorithm are described in detail. The experiments show that the RGB-D SLAM algorithm can achieve good results.