{"title":"基于改进A*算法的无人机三维路径规划","authors":"Tianzhu Ren, Zhou Rui, Xia Jie, Zhuoning Dong","doi":"10.1109/CGNCC.2016.7828772","DOIUrl":null,"url":null,"abstract":"The current two-dimension path planning technologies are adequate for semi-autonomous Unmanned Aerial Vehicles (UAV) that operate in a relatively structured environment. However, for UAVs in a complicated uncertain environment the present techniques are inadequate. A three-dimensional (3D) path planning algorithm of UAV which based on improved A* algorithm is proposed in this paper in order to solve problem of path planning for UAV in complex environment. First, we attempt to extend the search space of traditional A* algorithm to three-dimension. Then we make the heuristic algorithm suitable for UAV with various constraints. Finally, in simulation experiments, the effectiveness of improved A* algorithm is verified concerning the accurateness, safety and the adaptability.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Three-dimensional path planning of UAV based on an improved A* algorithm*\",\"authors\":\"Tianzhu Ren, Zhou Rui, Xia Jie, Zhuoning Dong\",\"doi\":\"10.1109/CGNCC.2016.7828772\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current two-dimension path planning technologies are adequate for semi-autonomous Unmanned Aerial Vehicles (UAV) that operate in a relatively structured environment. However, for UAVs in a complicated uncertain environment the present techniques are inadequate. A three-dimensional (3D) path planning algorithm of UAV which based on improved A* algorithm is proposed in this paper in order to solve problem of path planning for UAV in complex environment. First, we attempt to extend the search space of traditional A* algorithm to three-dimension. Then we make the heuristic algorithm suitable for UAV with various constraints. Finally, in simulation experiments, the effectiveness of improved A* algorithm is verified concerning the accurateness, safety and the adaptability.\",\"PeriodicalId\":426650,\"journal\":{\"name\":\"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CGNCC.2016.7828772\",\"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 Chinese Guidance, Navigation and Control Conference (CGNCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CGNCC.2016.7828772","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Three-dimensional path planning of UAV based on an improved A* algorithm*
The current two-dimension path planning technologies are adequate for semi-autonomous Unmanned Aerial Vehicles (UAV) that operate in a relatively structured environment. However, for UAVs in a complicated uncertain environment the present techniques are inadequate. A three-dimensional (3D) path planning algorithm of UAV which based on improved A* algorithm is proposed in this paper in order to solve problem of path planning for UAV in complex environment. First, we attempt to extend the search space of traditional A* algorithm to three-dimension. Then we make the heuristic algorithm suitable for UAV with various constraints. Finally, in simulation experiments, the effectiveness of improved A* algorithm is verified concerning the accurateness, safety and the adaptability.