{"title":"占用网格地图生成使用360°扫描xtion pro live室内移动机器人导航","authors":"A. S. Kundu, O. Mazumder, Ankit Dhar, S. Bhaumik","doi":"10.1109/CMI.2016.7413791","DOIUrl":null,"url":null,"abstract":"Aim of this paper is to develop a 2d occupancy grid map of an unstructured environment using a scanning depth image for navigation of an omni robot platform. Xtion Pro live depth image sensor along with a dynamixel motor based rotating platform has been used to generate panoramic depth image for creating occupancy map. From the generated occupancy map, we can use static and dynamic navigation algorithm for autonomous indoor navigation.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Occupancy grid map generation using 360° scanning xtion pro live for indoor mobile robot navigation\",\"authors\":\"A. S. Kundu, O. Mazumder, Ankit Dhar, S. Bhaumik\",\"doi\":\"10.1109/CMI.2016.7413791\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aim of this paper is to develop a 2d occupancy grid map of an unstructured environment using a scanning depth image for navigation of an omni robot platform. Xtion Pro live depth image sensor along with a dynamixel motor based rotating platform has been used to generate panoramic depth image for creating occupancy map. From the generated occupancy map, we can use static and dynamic navigation algorithm for autonomous indoor navigation.\",\"PeriodicalId\":244262,\"journal\":{\"name\":\"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMI.2016.7413791\",\"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 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMI.2016.7413791","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Occupancy grid map generation using 360° scanning xtion pro live for indoor mobile robot navigation
Aim of this paper is to develop a 2d occupancy grid map of an unstructured environment using a scanning depth image for navigation of an omni robot platform. Xtion Pro live depth image sensor along with a dynamixel motor based rotating platform has been used to generate panoramic depth image for creating occupancy map. From the generated occupancy map, we can use static and dynamic navigation algorithm for autonomous indoor navigation.