A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned Missions
As the number of potential applications for Unmanned Aerial Vehicles (UAVs) keeps rising steadily, the chances that these devices get close to each other during their flights also increases, causing concerns regarding potential collisions. This paper proposed the Mission Based Collision Avoidance Pr...
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doaj-a8c69a6f3a03404c81ec97e4eb13c98d2020-11-25T00:43:18ZengMDPI AGSensors1424-82202019-05-011910240410.3390/s19102404s19102404A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned MissionsFrancisco Fabra0Willian Zamora1Julio Sangüesa2Carlos T. Calafate3Juan-Carlos Cano4Pietro Manzoni5Department of Computer Engineering, Universitat Politècnica de València, 46022 Valencia, SpainFaculty of Computer Science, Universidad Laica Eloy Alfaro de Manabí, Manta 130802, EcuadorUniversitary Center of Defense, General Military Academy, 50090 Zaragoza, SpainDepartment of Computer Engineering, Universitat Politècnica de València, 46022 Valencia, SpainDepartment of Computer Engineering, Universitat Politècnica de València, 46022 Valencia, SpainDepartment of Computer Engineering, Universitat Politècnica de València, 46022 Valencia, SpainAs the number of potential applications for Unmanned Aerial Vehicles (UAVs) keeps rising steadily, the chances that these devices get close to each other during their flights also increases, causing concerns regarding potential collisions. This paper proposed the Mission Based Collision Avoidance Protocol (MBCAP), a novel UAV collision avoidance protocol applicable to all types of multicopters flying autonomously. It relies on wireless communications in order to detect nearby UAVs, and to negotiate the procedure to avoid any potential collision. Experimental and simulation results demonstrated the validity and effectiveness of the proposed solution, which typically introduces a small overhead in the range of 15 to 42 s for each risky situation successfully handled.https://www.mdpi.com/1424-8220/19/10/2404unmanned aerial vehiclesense and avoidcollision avoidanceArduSim |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Francisco Fabra Willian Zamora Julio Sangüesa Carlos T. Calafate Juan-Carlos Cano Pietro Manzoni |
spellingShingle |
Francisco Fabra Willian Zamora Julio Sangüesa Carlos T. Calafate Juan-Carlos Cano Pietro Manzoni A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned Missions Sensors unmanned aerial vehicle sense and avoid collision avoidance ArduSim |
author_facet |
Francisco Fabra Willian Zamora Julio Sangüesa Carlos T. Calafate Juan-Carlos Cano Pietro Manzoni |
author_sort |
Francisco Fabra |
title |
A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned Missions |
title_short |
A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned Missions |
title_full |
A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned Missions |
title_fullStr |
A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned Missions |
title_full_unstemmed |
A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned Missions |
title_sort |
distributed approach for collision avoidance between multirotor uavs following planned missions |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2019-05-01 |
description |
As the number of potential applications for Unmanned Aerial Vehicles (UAVs) keeps rising steadily, the chances that these devices get close to each other during their flights also increases, causing concerns regarding potential collisions. This paper proposed the Mission Based Collision Avoidance Protocol (MBCAP), a novel UAV collision avoidance protocol applicable to all types of multicopters flying autonomously. It relies on wireless communications in order to detect nearby UAVs, and to negotiate the procedure to avoid any potential collision. Experimental and simulation results demonstrated the validity and effectiveness of the proposed solution, which typically introduces a small overhead in the range of 15 to 42 s for each risky situation successfully handled. |
topic |
unmanned aerial vehicle sense and avoid collision avoidance ArduSim |
url |
https://www.mdpi.com/1424-8220/19/10/2404 |
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