Multi-UAV Based Crowd Monitoring System

2020 ◽  
Vol 56 (2) ◽  
pp. 1332-1345 ◽  
Author(s):  
Rodrigo Saar de Moraes ◽  
Edison Pignaton de Freitas
IEEE Network ◽  
2021 ◽  
Vol 35 (1) ◽  
pp. 108-115
Author(s):  
Wenjing Xiao ◽  
Miao Li ◽  
Bander Alzahrani ◽  
Reem Alotaibi ◽  
Ahmed Barnawi ◽  
...  

Author(s):  
Maryna Zharikova ◽  
Vladimir Sherstjuk

In this chapter, the authors propose an approach to using a heterogeneous team of unmanned aerial vehicles and remote sensing techniques to perform tactical forest firefighting operations. The authors present the three-level architecture of the multi-UAV-based forest firefighting monitoring system; features of patrolling, confirming, and monitoring missions; as well as functions of UAV in such missions. The authors consider an infrastructure for the UAV ground support and equipment used for the UAVs control. The method of the data integration into a fire-spreading model in a real-time DSS for the forest fire response is proposed. The proposed approach has been tested with the multi-UAV team that included three drones for the patrol missions, one helicopter for the confirmation mission, and one octocopter for the monitoring mission. The performance of such multi-UAV team has been studied in the laboratory conditions. The result of the experiment has shown that the proposed approach provides required credibility and efficiency of fire prediction and response.


2021 ◽  
Author(s):  
Yuyi Cai ◽  
Manabu Tsukada ◽  
Hideya Ochiai ◽  
Hiroshi Esaki

2022 ◽  
Vol 70 (3) ◽  
pp. 6141-6158
Author(s):  
Bander Alzahrani ◽  
Ahmed Barnawi ◽  
Azeem Irshad ◽  
Areej Alhothali ◽  
Reem Alotaibi ◽  
...  

2021 ◽  
pp. 1-1
Author(s):  
Rui Wang ◽  
Qiao Yu ◽  
Bander Alzahrani ◽  
Ahmed Barnawi ◽  
Ahmed Alhindi ◽  
...  

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