Multi-UAV Surveillance over Forested Regions

Govindaraju, Vengatesan; Leng, Gerard; Zhang, Qian

doi:10.14358/pers.80.12.1129

Cited by 13 publications

(9 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the spiral algorithm is also more suitable for surveillance duty at low altitudes. The clustered spiral-alternating algorithm [35], which is actually a combination of the above two algorithms, is used in this paper to improve the effectiveness and efficiency of surveillance. To apply this algorithm we need to cluster the waypoints manually or by other methods.…”

Section: Stage Two: Uav Path Planning For Surveillancementioning

confidence: 99%

Occlusion-Aware UAV Path Planning for Reconnaissance and Surveillance

Zhang

Huang

2021

Drones

View full text Add to dashboard Cite

Unmanned Aerial Vehicles (UAVs) have become necessary tools for a wide range of activities including but not limited to real-time monitoring, surveillance, reconnaissance, border patrol, search and rescue, civilian, scientific and military missions, etc. Their advantage is unprecedented and irreplaceable, especially in environments dangerous to humans, for example, in radiation or pollution-exposed areas. Two path-planning algorithms for reconnaissance and surveillance are proposed in this paper, which ensures every point on the target ground area can be seen at least once in a complete surveillance circle. Moreover, the geometrically complex environments with occlusions are considered in our research. Compared with many existing methods, we decompose this problem into a waypoint-determination problem and an instance of the traveling-salesman problem.

show abstract

Section: Stage Two: Uav Path Planning For Surveillancementioning

confidence: 99%

Occlusion-Aware UAV Path Planning for Reconnaissance and Surveillance

Zhang

Huang

2021

Drones

View full text Add to dashboard Cite

show abstract

“…This problem was formulated as a VRP and solved using the Yalmip toolbox and Gorubi solver. Govindaraju et al (2014) studied coverage path planning for a UAV group surveillance over forested regions to enhance ground visibility and minimize the mission completion time. The authors proposed a probabilistic sensing model, and applied the centroidal Voronoi tessellation and clustered spiralalternating algorithm to determine the waypoints and plan the paths, respectively.…”

Section: Classification Of Existing Researchmentioning

confidence: 99%

A review of cooperative path planning of an unmanned aerial vehicle group

Zhang

Xin

Dou

et al. 2020

Front Inform Technol Electron Eng

View full text Add to dashboard Cite

As a cutting-edge branch of unmanned aerial vehicle (UAV) technology, the cooperation of a group of UAVs has attracted increasing attention from both civil and military sectors, due to its remarkable merits in functionality and flexibility for accomplishing complex extensive tasks, e.g., search and rescue, fire-fighting, reconnaissance, and surveillance. Cooperative path planning (CPP) is a key problem for a UAV group in executing tasks collectively. In this paper, an attempt is made to perform a comprehensive review of the research on CPP for UAV groups. First, a generalized optimization framework of CPP problems is proposed from the viewpoint of three key elements, i.e., task, UAV group, and environment, as a basis for a comprehensive classification of different types of CPP problems. By following the proposed framework, a taxonomy for the classification of existing CPP problems is proposed to describe different kinds of CPPs in a unified way. Then, a review and a statistical analysis are presented based on the taxonomy, emphasizing the coordinative elements in the existing CPP research. In addition, a collection of challenging CPP problems are provided to highlight future research directions.

show abstract

“…Owing to the natural advantages of multiagent cooperation, approaches based on it are developed to drive UAVs to perform area coverage for different purposes: in [12], the authors have proposed a UAVs-UGVs (Unmanned Ground Vehicles) cooperation strategy for forest monitoring and fire detection in assigned areas by applying leader-following formation algorithms on both UAV and UGV teams; literature [13] has planned paths for multi-UAV surveillance over forested regions while maximizing ground visibility using satellite data of tree-cover; research work in [14][15][16] has accomplished multi-UAV monitoring and surveillance missions via area partition-coverage schemes. However, none of these algorithms is capable of handling coverage problems in a priori unknown environments.…”

Section: Related Workmentioning

confidence: 99%

“…Our work features two major advantages over the above coverage strategies: (i) the proposed algorithm covers a priori unknown areas while providing smooth motion paths for the UAVs, both of which cannot be achieved by [12][13][14][15][16][17][18]; (ii) the new sweep coverage scheme deals with irregularshaped corridor while the methods proposed in [20,36,37] Mobile Information Systems 3 only handle the ones with almost constant width, excluding consideration of collision avoidance among the robots.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Distributed Control of Networked Unmanned Aerial Vehicles for Valley Area Coverage

Shi

Qin

2016

Mobile Information Systems

View full text Add to dashboard Cite

The paper provides a novel cooperative motion scheme for networked Unmanned Aerial Vehicles (UAVs) to fully sweep-cover a priori unknown elongated areas with curved borders, which are termed “valley areas.” The UAVs’ motion is confined between the borders. Different from former research on straight-corridor-sweep-coverage, in each valley area, the width of different portions varies dramatically: the UAVs need to line up across the valley area to achieve full coverage of the widest portions while they can only pass through the narrowest parts one by one in a queue. The UAVs are provided with barrier detection and inter-UAV communication. According to the scheme, a distributed control law has been offered for discrete-time multi-UAV systems, guaranteeing crash avoidance and full coverage while considering the constrained mobility of the UAVs. Regular and extreme simulations are carried out to verify the efficacy and stability of the proposed algorithm. Solutions to U-shaped valley coverage and the case of insufficient UAVs available are discussed with validation simulations. Comparison simulations are conducted with respect to a line-sweep-coverage algorithm developed by a closely related work, and differences in performance are revealed subsequently. Conclusions are drawn with possible directions of future research.

show abstract

Multi-UAV Surveillance over Forested Regions

Cited by 13 publications

References 15 publications

Occlusion-Aware UAV Path Planning for Reconnaissance and Surveillance

Occlusion-Aware UAV Path Planning for Reconnaissance and Surveillance

A review of cooperative path planning of an unmanned aerial vehicle group

Distributed Control of Networked Unmanned Aerial Vehicles for Valley Area Coverage

Contact Info

Product

Resources

About