Index System for Autonomous Capability of Ground-Attack UAV

  • Conference paper
  • First Online:
Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022) (ICAUS 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1010))

Included in the following conference series:

  • 103 Accesses

Abstract

To solve the problem of subjectivity in the process of autonomous capability assessment, a cognitive control structure of unmanned system is proposed. Based on the cognitive control structure and the operational characteristics of the ground-attack UAV, the index system of autonomy capability is constructed from five dimensions: sensing and detection, planning and decision-making, combat execution, security management and learning evolution. Finally, different methods are used to evaluate the autonomous capability of ground-attack UAV, which verify the rationality of the index system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (France)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 673.03
Price includes VAT (France)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 843.99
Price includes VAT (France)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
EUR 843.99
Price includes VAT (France)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Landreth, L.J.M.: Autonomous horizons: The way forward. Air Space Power J. 34–87 (2020)

    Google Scholar 

  2. Huang, H., Pavek, K., Novak, B.: A framework for autonomy levels for unmanned systems (ALFUS). In: Proceedings of the AUVSI Unmanned Systems North America, pp. 327–336 (2005)

    Google Scholar 

  3. Wang, X.X.: Study on model for autonomy levels for unmanned platforms. Master, Shenyang Aerospace University (2012)

    Google Scholar 

  4. Yin, W.Q.: Research on UAV autonomy capability evaluation technology based on improved analytic hierarchy process. Flight Dyn. 39(5), 82–87 (2021)

    Google Scholar 

  5. Eltabey, M.M., Mawgoud, A.A., Abu-Talleb, A.: The autonomy evolution in unmanned aerial vehicle: theory, challenges and techniques. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds.) AISI 2020. AISC, vol. 1261, pp. 527–536. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-58669-0_47

    Chapter  Google Scholar 

  6. Chen, S.N., Zhang, A., Gao, F.: Equipment contribution rate to system-of-systems evaluation method based on deep belief networks. Command Control Simul. 43(04), 26–31 (2021)

    Google Scholar 

  7. Guo, J.F., Zheng, H.X., Jia, T., et al.: Summary of key technologies for heterogeneous unmanned system cooperative operations. J. Astronaut. 41(06), 686–696 (2020)

    Google Scholar 

  8. Quan, J.L., Qian, H.: Evaluation of UAV reconnaissance capability based on exponential model. Technol. Innov. Appl. 9, 65–66 (2020)

    Google Scholar 

  9. Zhao, H.T., Gao, S.S., Wang, H.J., et al.: Evaluation method for autonomous communication and networking capability of UAV. J. Commun. 41(8), 87–98 (2020)

    Google Scholar 

  10. Zhang, L.: Research on autonomous decision-making technology of UCAV. Aeronaut. Sci. Technol. 25(5), 49–53 (2014)

    Google Scholar 

  11. Qu, G.M.: The research of UCAV effectiveness assessment and software development. Master, Nanchang Hangkong University (2015)

    Google Scholar 

  12. Dong, Y.F., Hu, T.: Synthesized combat effectiveness assessment modeling method for fighter plane. Fire Control Command Control. 37(02), 9–11 (2012)

    Google Scholar 

  13. Tian, J., Wang, Y.S., Liang, Y.L., et al.: A simulation study of data link performance in UAV communication network. Micro Comput. Appl. 01, 18–21 (2007)

    Google Scholar 

  14. Cui, J., He, J., Liu, Q., et al.: Research on the architecture design of UAV PHM system. Comput. Meas. Control. 24(06), 133–135 (2016)

    Google Scholar 

  15. He, S.J., Guo, Q., Wang, X.H., et al.: UAV performance evaluation method optimized based on ADC analysis method. Unmanned Syst. Technol. 5(02), 106–116 (2022)

    Google Scholar 

  16. Yan, J.T., Liu, S.G.: Cloud model evaluation of autonomous capability of ground-attack UAV based on combined weighting. J. Bei**g Univ. Aeronaut. Astronaut. 1–14 (2022). https://doi.org/10.13700/j.bh.1001-5965.2022.0072

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shuguang Liu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 Bei**g HIWING Sci. and Tech. Info Inst

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yan, J., Liu, S., Shao, M., Wang, H. (2023). Index System for Autonomous Capability of Ground-Attack UAV. In: Fu, W., Gu, M., Niu, Y. (eds) Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). ICAUS 2022. Lecture Notes in Electrical Engineering, vol 1010. Springer, Singapore. https://doi.org/10.1007/978-981-99-0479-2_305

Download citation

Publish with us

Policies and ethics

Navigation