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Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Hao Zhang

https://orcid.org/0000-0001-5598-9926

Bin Xin

https://orcid.org/0000-0001-9989-0418

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

http://doi.org/10.1631/FITEE.2000228


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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Abstract: 
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.

无人机群协同路径规划研究综述

张昊1,辛斌1,窦丽华1,陈杰1,2,Kaoru HIROTA1,3
1北京理工大学自动化学院,中国北京市,100081
2复杂系统智能控制与决策国家重点实验室,中国北京市,100081
3东京理工大学计算智能和系统科学系,日本东京市,1528550

摘要:作为无人机技术的一个前沿分支,无人机群协同在执行搜索救援、消防、侦察、监视等复杂而广泛的任务中,在功能性和灵活性上都表现出显著优势,因此在民用和军事领域得到越来越多关注。协同路径规划是无人机群共同执行任务的关键问题。本文试图对无人机群协同路径规划的研究作全面回顾。首先,从任务、无人机群和环境3个要素出发,提出一个广义的协同路径规划问题优化框架,作为对不同类型的协同路径规划问题进行综合分类的基础。基于该框架,进一步提出一种分类法,对现有协同路径规划问题分类,以便用统一方式描述不同类型协同路径规划问题。接着,在分类法基础上,对近年来的协同路径规划研究作回顾和统计分析,并重点介绍现有协同路径规划研究中的协同要素。此外,提供一系列具有挑战性的协同路径规划问题,以突出未来研究方向。

关键词:无人机群;协作;路径规划;优化问题

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

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