Amaanullah, Muhammed Ahmed Lamba, S. S, Shrikant S. Tangade, Syed Sehraab Nawaz, S. Manvi
{"title":"无人机交通管理系统中避碰路径规划方案","authors":"Amaanullah, Muhammed Ahmed Lamba, S. S, Shrikant S. Tangade, Syed Sehraab Nawaz, S. Manvi","doi":"10.1109/CONECCT52877.2021.9622656","DOIUrl":null,"url":null,"abstract":"The expectations from Unmanned Aerial Vehicles (UAVs) to contribute in various services are increasing in which group of UAVs will be present in low altitude shared airspace, is controlled and managed by different service providers. In order to provide conflict-free paths for UAVs before its flight operation, techniques like pre-flight conflict detection and resolution (CDR) can be employed. There are many methods and algorithms proposed but an efficient preflight mission planning to avoid collision of paths is proposed in this paper. This can be achieved by automating the process of path planning before the mission using an algorithm designed to avoid collision. We consider the flight path of the ongoing mission and look for an alternate path if they collide.","PeriodicalId":164499,"journal":{"name":"2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Path Planning Scheme for Collision Avoidance in Unmanned Aerial Vehicle Traffic Management System\",\"authors\":\"Amaanullah, Muhammed Ahmed Lamba, S. S, Shrikant S. Tangade, Syed Sehraab Nawaz, S. Manvi\",\"doi\":\"10.1109/CONECCT52877.2021.9622656\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The expectations from Unmanned Aerial Vehicles (UAVs) to contribute in various services are increasing in which group of UAVs will be present in low altitude shared airspace, is controlled and managed by different service providers. In order to provide conflict-free paths for UAVs before its flight operation, techniques like pre-flight conflict detection and resolution (CDR) can be employed. There are many methods and algorithms proposed but an efficient preflight mission planning to avoid collision of paths is proposed in this paper. This can be achieved by automating the process of path planning before the mission using an algorithm designed to avoid collision. We consider the flight path of the ongoing mission and look for an alternate path if they collide.\",\"PeriodicalId\":164499,\"journal\":{\"name\":\"2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONECCT52877.2021.9622656\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONECCT52877.2021.9622656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Path Planning Scheme for Collision Avoidance in Unmanned Aerial Vehicle Traffic Management System
The expectations from Unmanned Aerial Vehicles (UAVs) to contribute in various services are increasing in which group of UAVs will be present in low altitude shared airspace, is controlled and managed by different service providers. In order to provide conflict-free paths for UAVs before its flight operation, techniques like pre-flight conflict detection and resolution (CDR) can be employed. There are many methods and algorithms proposed but an efficient preflight mission planning to avoid collision of paths is proposed in this paper. This can be achieved by automating the process of path planning before the mission using an algorithm designed to avoid collision. We consider the flight path of the ongoing mission and look for an alternate path if they collide.