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Practical Obstacle Avoidance Path Planning for Agriculture UAVs

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Advances and Trends in Artificial Intelligence. From Theory to Practice (IEA/AIE 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11606))

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Abstract

This research deals with the coverage path problem (CPP) in a given area with several known obstacles for agriculture Unmanned Aerial Vehicles (UAVs). The work takes the geometry characteristics of the field and obstacles into consideration. A practical method of the coverage path planning process is established. An obstacle avoidance path planning is used to find a coverage path for agriculture UAVs. The method has been tested with an Android application and is already applied in reality. The results turn out that the method is complete for this kind of coverage path planning problem.

This work is supported by National Natural Science Foundation (NNSF) of China under Grant 61702023 and 91538204.

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Authors and Affiliations

  1. School of Aeronautic Science and Engineering, Beihang University, Beijing, China

    Kaipeng Wang, Zhijun Meng, Lifeng Wang, Zhenping Wu & Zhe Wu

Authors
  1. Kaipeng Wang
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  2. Zhijun Meng
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  3. Lifeng Wang
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  4. Zhenping Wu
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  5. Zhe Wu
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Corresponding author

Correspondence to Zhijun Meng .

Editor information

Editors and Affiliations

  1. Institute for Software Technology, Graz University of Technology, Graz, Austria

    Franz Wotawa

  2. Department of Applied Informatics, University of Klagenfurt, Klagenfurt, Austria

    Gerhard Friedrich

  3. Institute for Software Technology, Graz University of Technology, Graz, Austria

    Ingo Pill

  4. Institute for Software Technology, Graz University of Technology, Graz, Austria

    Roxane Koitz-Hristov

  5. Department of Computer Science, Texas State University, San Marcos, TX, USA

    Moonis Ali

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Wang, K., Meng, Z., Wang, L., Wu, Z., Wu, Z. (2019). Practical Obstacle Avoidance Path Planning for Agriculture UAVs. In: Wotawa, F., Friedrich, G., Pill, I., Koitz-Hristov, R., Ali, M. (eds) Advances and Trends in Artificial Intelligence. From Theory to Practice. IEA/AIE 2019. Lecture Notes in Computer Science(), vol 11606. Springer, Cham. https://doi.org/10.1007/978-3-030-22999-3_18

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  • DOI: https://doi.org/10.1007/978-3-030-22999-3_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22998-6

  • Online ISBN: 978-3-030-22999-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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