Coordinated Standoff Tracking Using Path Shaping for Multiple UAVs

Oh, Hyondong; Turchi, Dario; Kim, Taegyun; Tsourdos, Antonios; Pollini, Lorenzo; White, Brian

doi:10.1109/taes.2013.110712

Cited by 42 publications

(17 citation statements)

References 35 publications

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“…The authors of [15,16] further propose fast path planning schemes for a UAV to track a target based on estimated location and distance between the target and the UAV. Beyond using a single UAV, researchers have carried out investigations on using multiple UAVs to cover a single target [17][18][19]. The deployment of multiple UAVs enables the observation of the target from different directions and also reduces the probability of losing the target especially in urban areas where occlusion often exists due to the tall buildings.…”

Section: Related Workmentioning

confidence: 99%

Reactive Autonomous Navigation of UAVs for Dynamic Sensing Coverage of Mobile Ground Targets

Huang

Savkin

2020

Sensors

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This paper addresses a problem of autonomous navigation of unmanned aerial vehicles (UAVs) for the surveillance of multiple moving ground targets. The ground can be flat or uneven. A reactive real-time sliding mode control algorithm is proposed that navigates a team of communicating UAVs, equipped with ground-facing video cameras, towards moving targets to increase some measure of sensing coverage of the targets by the UAVs. Moreover, the Voronoi partitioning technique is adopted to reduce the movement range of the UAVs and decrease the revisit times of the targets. Extensive computer simulations, from the simple case with one UAV and multiple targets to the complex case with multiple UAVs and multiple targets, are conducted to demonstrate the performance of the developed autonomous navigation algorithm. The scenarios where the terrain is uneven are also considered. As shown in the simulation results, although the additional VP technique leads to some extra computation burden, the usage of the VP technique considerably reduces the target revisit time compared to the algorithm without this technique.

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Section: Related Workmentioning

confidence: 99%

Reactive Autonomous Navigation of UAVs for Dynamic Sensing Coverage of Mobile Ground Targets

Huang

Savkin

2020

Sensors

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“…The target surveillance problem has been investigated from different levels in the literature. In terms of sensing, a large number of image/video processing strategies have been developed in order to estimate states of the targets from the measured images/videos [10][11][12][13][14]. In these publications, attention has been paid to the quality of detection for a single target.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Autonomous Navigation of Solar-Powered UAVs for Surveillance of Mobile Ground Targets in Urban Environments

Huang

Savkin

2020

Energies

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In this paper, we consider the navigation of a group of solar-powered unmanned aerial vehicles (UAVs) for periodical monitoring of a set of mobile ground targets in urban environments. We consider the scenario where the number of targets is larger than that of the UAVs, and the targets spread in the environment, so that the UAVs need to carry out a periodical surveillance. The existence of tall buildings in urban environments brings new challenges to the periodical surveillance mission. They may not only block the Line-of-Sight (LoS) between a UAV and a target, but also create some shadow region, so that the surveillance may become invalid, and the UAV may not be able to harvest energy from the sun. The periodical surveillance problem is formulated as an optimization problem to minimize the target revisit time while accounting for the impact of the urban environment. A nearest neighbour based navigation method is proposed to guide the movements of the UAVs. Moreover, we adopt a partitioning scheme to group targets for the purpose of narrowing UAVs’ moving space, which further reduces the target revisit time. The effectiveness of the proposed method is verified via computer simulations.

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“…It is complex to declare someone universal problem solution of the routing and task allocation in FANET. In [32] researchers used the differential geometry to design the guidance system with a capability of targets tracking and rendezvous with UAVs. The concepts of velocity factors and targets of UAVs is presented by researches with a mathematical solution.…”

Section: Biological Inspired Algorithmsmentioning

confidence: 99%

Nature Inspired Optimization Techniques, A review for FANETs

Ahmed

2020

SJET

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Coordinated Standoff Tracking Using Path Shaping for Multiple UAVs

Cited by 42 publications

References 35 publications

Reactive Autonomous Navigation of UAVs for Dynamic Sensing Coverage of Mobile Ground Targets

Reactive Autonomous Navigation of UAVs for Dynamic Sensing Coverage of Mobile Ground Targets

Energy-Efficient Autonomous Navigation of Solar-Powered UAVs for Surveillance of Mobile Ground Targets in Urban Environments

Nature Inspired Optimization Techniques, A review for FANETs

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