2022
DOI: 10.1109/tits.2021.3077880
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Navigation of a UAV Network for Optimal Surveillance of a Group of Ground Targets Moving Along a Road

Abstract: The paper considers navigating a network of unmanned aerial vehicles (UAVs) to effectively monitor a group of ground targets which move along a curvy road. A surveillance optimization problem is stated and a distributed navigation algorithm for the UAV network is developed. It is proved that the proposed algorithm is globally optimal. Simulations confirm the effectiveness of the proposed navigation algorithm.

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Cited by 36 publications
(11 citation statements)
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“…There exist numerous recent publications that study various problems of UAV surveillance of ground targets and areas. The papers [11] and [13] propose various UAV video surveillance strategies that are based on Voronoi partitioning groups of moving cars or pedestrians and navigating UAVs towards centres of Voronoi cells. Fast path planning schemes for a single UAV tracking targets were proposed in [18], [19].…”
Section: Complex Uneven Terrains Are Especially Widespread In Urbanmentioning
confidence: 99%
See 1 more Smart Citation
“…There exist numerous recent publications that study various problems of UAV surveillance of ground targets and areas. The papers [11] and [13] propose various UAV video surveillance strategies that are based on Voronoi partitioning groups of moving cars or pedestrians and navigating UAVs towards centres of Voronoi cells. Fast path planning schemes for a single UAV tracking targets were proposed in [18], [19].…”
Section: Complex Uneven Terrains Are Especially Widespread In Urbanmentioning
confidence: 99%
“…To better illustrate the performance, we consider two benchmark methods. One is based on Voronoi partitioning [11], [13], and the other is the standoff tracking method, i.e., the UAV team stays away from the targets by a certain distance. The basic idea of the first method is to first partition the targets into some groups according to their positions and the positions of UAVs and then drive the UAVs towards the centres of the groups.…”
Section: Computer Simulationsmentioning
confidence: 99%
“…If the distance exceeds that c R , they are out of communication range with each other. If the whole network is connected, each node can get the information of all the nodes by multi-hopping, and the overall or local network topology can also be obtained [16].…”
Section: Network Topology Modelmentioning
confidence: 99%
“…In their parallel paper, Savkin and Huang discussed navigation of a UAV network for surveillance using a distributed navigation algorithm. Each UAV in the network uses individual local information to determine its movement with minimal involvement from the central controller, and converge to an optimal location [286].…”
Section: G Traffic Monitoring and Surveillancementioning
confidence: 99%