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Survey of Safety Management Approaches to Unmanned Aerial Vehicles and Enabling Technologies

  • Review paper
  • Published:
Journal of Communications and Information Networks

Abstract

Unmanned aerial vehicle (UAV) has a rapid development over the last decade. However, an increasing number of severe flight collision events caused by explosive growth of UAV have drawn widespread concern. It is an important issue to investigate safety management approaches of UAVs to ensure safe and efficient operation. In this paper, we present a comprehensive overview of safety management approaches in large, middle and small scales. In large-scale safety management, path-planning problem is a crucial issue to ensure safety and ordered operation of UAVs globally. In middle-scale safety management, it is an important issue to study the conflict detection and resolution methods. And in small-scale safety management, real-time collision avoidance is the last line of ensuring safety. Moreover, a UAV can be regarded as a terminal device connected through communication and information network. Therefore, the enabling technologies, such as sensing, command and control communication, and collaborative decision-making control technology, have been studied in the last.

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Beihang University. Beijing Key Laboratory for Network-based Cooperative Air Traffic Management., Beijing Laboratory for General Aviation Technology, Beijing, 100191, China

    Xuejun Zhang, Yanshuang Du, Bo Gu & Guoqiang Xu

  2. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China

    Yongxiang Xia

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  1. Xuejun Zhang
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  2. Yanshuang Du
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Correspondence to Yongxiang Xia.

Additional information

This work was supported by the National Key Laboratory of CNS/ATM, Beijing Key Laboratory for Network-based Cooperative Air Traffic Management and the State Key Program of National Natural Science of China (No. 71731001). The associate editor coordinating the review of this paper and approving it for publication was W. Zhang.

Xuejun Zhang is currently a professor in the School of Electronic and Information Engineering at Beihang University, where he received his B.S. and Ph.D. degrees in 1994 and 2000, respectively. His main research interests are air traffic management, data communication, and air surveillance.

Yanshaung Du was born in Hebei Province of China. She is now a Ph.D. student in the School of Electronic and Information Engineering at Beihang University. Her research interests include air traffic management, UAS traffic management, and sense and avoid technology.

Bo Gu was born in Inner Mongolia, China. He received the bachelor of engineering degree in optoelectronics information engineering from Beihang University, and the master’s degree in electronics and communication engineering from North China Electric Power University. He is now a Ph.D. candidate in information network engineering of Beihang University. His research interests include robustness analysis of complex networks and routing of UAVs communication.

Guoqiang Xu is a Ph.D. student in the School of Electronic and Information Engineering at Beihang University, where he received his B.S. degree in 2015. His areas of research include complex network theory and air transportation safety management.

Yongxiang Xia [corresponding author] is currently an associate professor in the College of Information Science and Electronic Engineering, Zhejiang University. He received his Ph.D. degree from Tsinghua University in 2004. His main research interests are network science and robustness analysis of power grid.

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Zhang, X., Du, Y., Gu, B. et al. Survey of Safety Management Approaches to Unmanned Aerial Vehicles and Enabling Technologies. J. Commun. Inf. Netw. 3, 1–14 (2018). https://doi.org/10.1007/s41650-018-0038-x

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  • DOI: https://doi.org/10.1007/s41650-018-0038-x

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