A Hierarchical Mission Planning Method for Simultaneous Arrival of Multi-UAV Coalition

Yan, Fei; Zhu, Xiaoping; Zhou, Zhou; Jing, Chenchen

doi:10.3390/app9101986

Cited by 18 publications

(10 citation statements)

References 32 publications

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“…In the n > m case (Zeng et al, 2018b;Yan et al, 2019b), each target may be assigned to multiple UAVs, and each UAV can be assigned only once. This case can be regarded as the UAV group performing several rendezvous tasks simultaneously.…”

Section: Path Generationmentioning

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

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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.

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Section: Path Generationmentioning

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

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Section: Advanced Uav Technologiesmentioning

confidence: 99%

“…There are six papers focused on the UAV path planning technology [13][14][15][16][17][18]. F. Yan, X. Zhu, Z. Zhou, and J. Chu present an empirical hierarchical mission planning to decouple and solve the simultaneous arrival of a multi-UAV coalition problem [13]. S. Xie, A. Zhang, W. Bi, and Y. Tang present an improved mathematical model for UAV mission allocation by considering the difference in each target's importance, constraints of the time window, and an indicator of reconnaissance reward [14].…”

Section: Advanced Uav Technologiesmentioning

confidence: 99%

Special Issue on Unmanned Aerial Vehicles (UAVs)

Jung

2020

Applied Sciences

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This editorial paper was a special issue of Applied Sciences belonging to the section of mechanical engineering in MDPI journal and summarized the collected manuscripts regarding the unmanned aerial vehicles (UAVs) related technologies, including communication, control, collision avoidance, modeling, path planning, human-machine interface (HMI), artificial intelligence (AI), etc. Chronologically, this special issue was started to be coordinated at the end of Oct 2018, prepared for a month and opened to collect manuscripts from the middle of Nov 2018 until the end of Dec 2019. During almost a year, 26 papers were published online out of 50 submitted papers which results in 52% acceptance rate.

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“…Similarly, a hierarchical mission planning method was proposed in [19] to solve the simultaneous multi-UAV attack problem. This method uses a scheme to decouple and then solve the mission planning problem.…”

Section: Introductionmentioning

confidence: 99%

Mission Planning for Unmanned Aerial Vehicles Based on Voronoi Diagram‐Tabu Genetic Algorithm

Tan

Zhao

et al. 2021

Wireless Communications and Mobile Computing

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Unmanned aerial vehicles (UAVs) are increasingly used in different military missions. In this paper, we focus on the autonomous mission allocation and planning abilities for the UAV systems. Such abilities enable adaptation to more complex and dynamic mission environments. We first examine the mission planning of a single unmanned aerial vehicle. Based on that, we then investigate the multi-UAV cooperative system under the mission background of cooperative target destruction and show that it is a many-to-one rendezvous problem. A heterogeneous UAV cooperative mission planning model is then proposed where the mission background is generated based on the Voronoi diagram. We then adopt the tabu genetic algorithm (TGA) to obtain multi-UAV mission planning. The simulation results show that the single-UAV and multi-UAV mission planning can be effectively realized by the Voronoi diagram-TGA (V-TGA). It is also shown that the proposed algorithm improves the performance by 3% in comparison with the Voronoi diagram-particle swarm optimization (V-PSO) algorithm.

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A Hierarchical Mission Planning Method for Simultaneous Arrival of Multi-UAV Coalition

Cited by 18 publications

References 32 publications

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

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

Special Issue on Unmanned Aerial Vehicles (UAVs)

Mission Planning for Unmanned Aerial Vehicles Based on Voronoi Diagram‐Tabu Genetic Algorithm

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