In recent times, multiple Unmanned Aerial Vehicles (UAVs) have been utilized in numerous fields. Applications exploiting UAVs range from civilian to military applications. Multiple UAVs have been used for surveillance, monitoring, penetrating, or event detecting. In these applications, an ability of multiple UAVs to track an interested object plays a crucial role. In this work, a framework of cooperative tracking for a team of multiple UAVs is proposed. The proposed method consists of two main stages. First, an interested object is evaluated by computer vision techniques implemented on UAVs. Each UAV would have its own observation about the object. A consensus algorithm is used to synchronize sensing information of a whole team to decide whether the object is a target or not. In the second stage, a flocking algorithm is used to drive a UAVs team to track the target. Simulations in both cases static and dynamic targets are illustrated tracking performance.
Cooperative Tracking Framework for Multiple Unmanned Aerial Vehicles (UAVs)
Lect. Notes in Networks, Syst.
International Conference on Engineering Research and Applications ; 2021 ; Thai Nguyen, Vietnam December 01, 2021 - December 02, 2021
2022-01-12
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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