{"title":"城市环境下多无人机导航感知路径规划","authors":"F. Causa, G. Fasano","doi":"10.1109/DASC50938.2020.9256724","DOIUrl":null,"url":null,"abstract":"This paper tackles the problem of multi-VAV routing in urban environment. Due to the heterogenous GNSS coverage characterizing these environments, path selection and waypoint assignment should account for the navigation performance of the UAVs, so as to guarantee flyable trajectories within an autonomous flight framework. Therefore, this paper accounts for navigation capability and onboard sensor performance while assigning waypoints to the VAVs. A centralized strategic flight planner is developed, which adapts to navigation performance levels and can also handle fleets of heterogeneous UAVs. The proposed path planning algorithm is tested in simulations using a 3D real-world scenario. The impact on path planning efficiency of different onboard sensors performance and of eventual ground infrastructure support is discussed.","PeriodicalId":112045,"journal":{"name":"2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Navigation-aware Path Planning for Multiple UAVs in Urban Environment\",\"authors\":\"F. Causa, G. Fasano\",\"doi\":\"10.1109/DASC50938.2020.9256724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper tackles the problem of multi-VAV routing in urban environment. Due to the heterogenous GNSS coverage characterizing these environments, path selection and waypoint assignment should account for the navigation performance of the UAVs, so as to guarantee flyable trajectories within an autonomous flight framework. Therefore, this paper accounts for navigation capability and onboard sensor performance while assigning waypoints to the VAVs. A centralized strategic flight planner is developed, which adapts to navigation performance levels and can also handle fleets of heterogeneous UAVs. The proposed path planning algorithm is tested in simulations using a 3D real-world scenario. The impact on path planning efficiency of different onboard sensors performance and of eventual ground infrastructure support is discussed.\",\"PeriodicalId\":112045,\"journal\":{\"name\":\"2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DASC50938.2020.9256724\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASC50938.2020.9256724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Navigation-aware Path Planning for Multiple UAVs in Urban Environment
This paper tackles the problem of multi-VAV routing in urban environment. Due to the heterogenous GNSS coverage characterizing these environments, path selection and waypoint assignment should account for the navigation performance of the UAVs, so as to guarantee flyable trajectories within an autonomous flight framework. Therefore, this paper accounts for navigation capability and onboard sensor performance while assigning waypoints to the VAVs. A centralized strategic flight planner is developed, which adapts to navigation performance levels and can also handle fleets of heterogeneous UAVs. The proposed path planning algorithm is tested in simulations using a 3D real-world scenario. The impact on path planning efficiency of different onboard sensors performance and of eventual ground infrastructure support is discussed.