{"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}
引用次数: 15
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.