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Hao Zhang


Bin Xin


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Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.12 P.1671-1694


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

Author(s):  Hao Zhang, Bin Xin, Li-hua Dou, Jie Chen, Kaoru Hirota

Affiliation(s):  School of Automation, Beijing Institute of Technology, Beijing 100081, China; more

Corresponding email(s):   brucebin@bit.edu.cn

Key Words:  Unmanned aerial vehicle group, Cooperation, Path planning, Optimization problem

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Hao Zhang, Bin Xin, Li-hua Dou, Jie Chen, Kaoru Hirota. A review of cooperative path planning of an unmanned aerial vehicle group[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(12): 1671-1694.

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A1 - Hao Zhang
A1 - Bin Xin
A1 - Li-hua Dou
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J0 - Frontiers of Information Technology & Electronic Engineering
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DOI - 10.1631/FITEE.2000228

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.


张昊1,辛斌1,窦丽华1,陈杰1,2,Kaoru HIROTA1,3



Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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