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Drone Classification by Available Control Distances

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Advances in Computer Science and Ubiquitous Computing (UCAWSN 2016, CUTE 2016, CSA 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 421))

Abstract

A drone industry which started for military purposes is growing and are being spread in the private market as ICT technologies are developing. For example, it includes various industries such as leisure, construction, delivery, military, etc. and there are plenty of pioneer areas for future. However the researches for future drone developments have some challenges because there are no standards for drone developments, so the environment should be provided to develop and design them properly. This paper categorizes various purpose drones into 3 kinds of control distances by features, so it will help future drone development researches.

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Author information

Authors and Affiliations

  1. Soongsil University, Seoul, Republic of Korea

    Mansik Kim, Hyungjoo Kim & Jungho Kang

  2. Seoul National University of Science and Technology, Seoul, Republic of Korea

    Jaesoo Kim

Authors
  1. Mansik Kim
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  2. Hyungjoo Kim
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  3. Jungho Kang
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  4. Jaesoo Kim
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Corresponding author

Correspondence to Jaesoo Kim .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    James J. (Jong Hyuk) Park

  2. Department of Computer Science, Georgia State University, Atlanta, Georgia, USA

    Yi Pan

  3. Computer Science and Engineering, Gangneung-Wonju National University, Wonju, Korea (Republic of)

    Gangman Yi

  4. University Salerno, Fisciano, Italy

    Vincenzo Loia

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© 2017 Springer Nature Singapore Pte Ltd.

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Cite this paper

Kim, M., Kim, H., Kang, J., Kim, J. (2017). Drone Classification by Available Control Distances. In: Park, J., Pan, Y., Yi, G., Loia, V. (eds) Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016 2016 2016. Lecture Notes in Electrical Engineering, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-10-3023-9_36

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  • DOI: https://doi.org/10.1007/978-981-10-3023-9_36

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3022-2

  • Online ISBN: 978-981-10-3023-9

  • eBook Packages: EngineeringEngineering (R0)

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