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Multi UAV Target Tracking Based on the Vision and Communication Information

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Cognitive Systems and Signal Processing (ICCSIP 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1397))

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Abstract

This paper investigates the multi Unmanned Aerial Vehicle (UAV) target tracking mission based on the vision and communication information. Firstly, the multiple UAV platform is established to achieve the target tracking mission. Furthermore, utilizing deep learning algorithm, target detection is accomplished based on UAV vision. Thirdly, each UAV could communicate with others to share target information and track it by maintaining the certain distance. Finally, the effectiveness of multi UAV target tracking system is verified on the actual test.

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Author information

Authors and Affiliations

  1. School of Automation, Northwestern Polytechnical University, Xi’an, 710072, China

    Chang Liu, Dongsheng Wang & Bin Xu

  2. Chengdu Aircraft Design and Research Institute of AVIC, Chengdu, 610065, China

    Yong Tang

Authors
  1. Chang Liu
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  2. Dongsheng Wang
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  3. Yong Tang
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  4. Bin Xu
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Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Fuchun Sun

  2. Tsinghua University, Beijing, China

    Huaping Liu

  3. Tsinghua University, Beijing, China

    Bin Fang

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Liu, C., Wang, D., Tang, Y., Xu, B. (2021). Multi UAV Target Tracking Based on the Vision and Communication Information. In: Sun, F., Liu, H., Fang, B. (eds) Cognitive Systems and Signal Processing. ICCSIP 2020. Communications in Computer and Information Science, vol 1397. Springer, Singapore. https://doi.org/10.1007/978-981-16-2336-3_58

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  • DOI: https://doi.org/10.1007/978-981-16-2336-3_58

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-2335-6

  • Online ISBN: 978-981-16-2336-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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