{"title":"基于交叉口A*算法的无人机导航路径规划","authors":"Q. Feng, Jiasheng Gao, Xiujian Deng","doi":"10.1109/CGNCC.2016.7829147","DOIUrl":null,"url":null,"abstract":"A combination process of A* algorithm incorporating intersection is utilized to design a path planner for unmanned aerial vehicles (UAVs) autonomous navigation. The evaluation index of candidate path points is introduced in this method. It increases the consistency of the target direction and the search direction, and ensures the path towards the direction of the target point. In order to improve the security of the planned path, a path allocation method is designed. Under the same environment of simulation, the efficiency for the UAV path planning of this method is greater compared with the mixed algorithm of Dijkstra and Dijkstra-PSO.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"02 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Path planner for UAVs navigation based on A* algorithm incorporating intersection\",\"authors\":\"Q. Feng, Jiasheng Gao, Xiujian Deng\",\"doi\":\"10.1109/CGNCC.2016.7829147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A combination process of A* algorithm incorporating intersection is utilized to design a path planner for unmanned aerial vehicles (UAVs) autonomous navigation. The evaluation index of candidate path points is introduced in this method. It increases the consistency of the target direction and the search direction, and ensures the path towards the direction of the target point. In order to improve the security of the planned path, a path allocation method is designed. Under the same environment of simulation, the efficiency for the UAV path planning of this method is greater compared with the mixed algorithm of Dijkstra and Dijkstra-PSO.\",\"PeriodicalId\":426650,\"journal\":{\"name\":\"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)\",\"volume\":\"02 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"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.2016.7829147\",\"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.2016.7829147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Path planner for UAVs navigation based on A* algorithm incorporating intersection
A combination process of A* algorithm incorporating intersection is utilized to design a path planner for unmanned aerial vehicles (UAVs) autonomous navigation. The evaluation index of candidate path points is introduced in this method. It increases the consistency of the target direction and the search direction, and ensures the path towards the direction of the target point. In order to improve the security of the planned path, a path allocation method is designed. Under the same environment of simulation, the efficiency for the UAV path planning of this method is greater compared with the mixed algorithm of Dijkstra and Dijkstra-PSO.