{"title":"地下矿山搜索与测绘飞行机器人的无碰撞导航","authors":"Hang Li, A. Savkin, B. Vucetic","doi":"10.1109/ROBIO.2018.8665108","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a method of using an autonomous flying robot to explore an underground tunnel environment and build a 3D map. The measurements and sensors we considered in the presented method are simple and valid in practical UAV engineering. The proposed safe exploration algorithm belongs to a class of probabilistic area search and with a mathematical proof, the performance of the algorithm is analysed. Furthermore, the simulations show that the algorithm can be implemented in sloping tunnels.","PeriodicalId":417415,"journal":{"name":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Collision Free Navigation of a Flying Robot for Underground Mine Search and Mapping\",\"authors\":\"Hang Li, A. Savkin, B. Vucetic\",\"doi\":\"10.1109/ROBIO.2018.8665108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a method of using an autonomous flying robot to explore an underground tunnel environment and build a 3D map. The measurements and sensors we considered in the presented method are simple and valid in practical UAV engineering. The proposed safe exploration algorithm belongs to a class of probabilistic area search and with a mathematical proof, the performance of the algorithm is analysed. Furthermore, the simulations show that the algorithm can be implemented in sloping tunnels.\",\"PeriodicalId\":417415,\"journal\":{\"name\":\"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIO.2018.8665108\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2018.8665108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Collision Free Navigation of a Flying Robot for Underground Mine Search and Mapping
In this paper, we propose a method of using an autonomous flying robot to explore an underground tunnel environment and build a 3D map. The measurements and sensors we considered in the presented method are simple and valid in practical UAV engineering. The proposed safe exploration algorithm belongs to a class of probabilistic area search and with a mathematical proof, the performance of the algorithm is analysed. Furthermore, the simulations show that the algorithm can be implemented in sloping tunnels.