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المؤلفWan, Xiangpeng
المؤلفGhazzai, Hakim
المؤلفMassoud, Yehia
المؤلفMenouar, Hamid
تاريخ الإتاحة2024-10-20T10:43:21Z
تاريخ النشر2019
اسم المنشورIEEE Vehicular Technology Conference
المصدرScopus
الرقم المعياري الدولي للكتاب15502252
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/VTCSpring.2019.8746332
معرّف المصادر الموحدhttp://hdl.handle.net/10576/60237
الملخصThe use of micro unmanned aerial vehicles (UAVs) have gained a lot of interests especially for smart city applications due to their three- dimensional (3D) mobility and flexibility. Path planning is one of the most important UAV problems that needs to be addressed. In this paper, we focus on determining the optimal routes for a fleet of UAVs in urban cities that minimize the total arrival time of all UAV swarms while respecting their energy consumption constraints and avoiding the risk of collision. Through a mixed integer linear program, we develop a safe navigation framework for realistic 3D maps where charging stations are made available to recharge UAV batteries on their ways to destination. Our results investigate different scenarios for selected system parameters and illustrate different collision avoidance techniques followed by the UAVs.
راعي المشروعThis work was made possible, in part, by grant NPRP # 9-257-1-056 from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعCollision avoidance
Energy management
Path planning
Smart city
Unmanned aerial vehicles
العنوانOptimal collision-free navigation for multi-rotor UAV swarms in urban areas
النوعConference
رقم المجلد2019-April
dc.accessType Full Text


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