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Automated Situation Analysis as Next Level of Unmanned Aerial Vehicle Artificial Intelligence

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Advances in Human Factors in Simulation and Modeling (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 591))

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Abstract

In this paper automated situation analysis is discussed together with already accessible advantages of artificial intelligence and control systems of unmanned aerial vehicle. Based on previous researches some new solutions are proposed to fulfill safety tasks in case of traffic, fire and criminal threats. Mostly connected with existing solutions, owing to artificial intelligence and hybrid systems they move to next level and provide better results and guideline for further development.

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Acknowledgements

The research leading to these results has received funding in a frame of Competence Centre of Latvian Electrical and Optical Devices in Industry project No. 1.2.1.1/16/A/00, subproject AERONES.

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Authors and Affiliations

  1. Faculty of Power and Electrical Engineering, Institute of Industrial Electronics and Electrical Engineering, Riga Technical University, Azenes street 12/1-504, 1048, Riga, Latvia

    Gunta Strupka

  2. Faculty of Power and Electrical Engineering, Institute of Industrial Electronics and Electrical Engineering, Riga Technical University, Azenes street 12/1-512, 1048, Riga, Latvia

    Anatoly Levchenkov & Mikhail Gorobetz

Authors
  1. Gunta Strupka
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  2. Anatoly Levchenkov
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  3. Mikhail Gorobetz
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Corresponding author

Correspondence to Gunta Strupka .

Editor information

Editors and Affiliations

  1. RDRL-HRF-D, United States Army, Aberdeen Proving Ground, Maryland, USA

    Daniel N. Cassenti

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Strupka, G., Levchenkov, A., Gorobetz, M. (2018). Automated Situation Analysis as Next Level of Unmanned Aerial Vehicle Artificial Intelligence. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2017. Advances in Intelligent Systems and Computing, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-319-60591-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-60591-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60590-6

  • Online ISBN: 978-3-319-60591-3

  • eBook Packages: EngineeringEngineering (R0)

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