Review of UAV Autonomous Grade Evaluation

Xiaofei Chang; Le Wang; Dakai Liu; Wenxing Fu

doi:10.1007/978-981-99-0479-2_171

Review of UAV Autonomous Grade Evaluation

Xiaofei Chang, Le Wang, Dakai Liu, Wenxing Fu

Unmanned System Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With the research boom of artificial intelligence, there is less and less human involvement in the military. Against the background of rapid development of autonomous perception technology and autonomous decision-making technology, UAVs gradually enter the era of autonomy and present intelligent performance characteristics. How to evaluate the autonomous capability of UAVs has become a new challenge for the evaluation of UAV combat effectiveness. This paper first discusses the evolution of the connotation of UAV autonomy, summarizes the research progress of domestic and foreign UAV autonomy evaluation methods in different periods and contexts, conducts a comparative analysis based on the objects and needs of the evaluation, and finally analyzes the difficulties in the development of index systems and evaluation methods based on the current UAV autonomy evaluation research progress, and discusses the development trend of UAV autonomy evaluation in the future.

Original language	English
Title of host publication	Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022
Editors	Wenxing Fu, Mancang Gu, Yifeng Niu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	1845-1856
Number of pages	12
ISBN (Print)	9789819904785
DOIs	https://doi.org/10.1007/978-981-99-0479-2_171
State	Published - 2023
Event	International Conference on Autonomous Unmanned Systems, ICAUS 2022 - Xi'an, China Duration: 23 Sep 2022 → 25 Sep 2022

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1010 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Autonomous Unmanned Systems, ICAUS 2022
Country/Territory	China
City	Xi'an
Period	23/09/22 → 25/09/22

Keywords

Autonomous degree grading
Autonomy
Unmanned aerial vehicle

Access to Document

10.1007/978-981-99-0479-2_171

Cite this

Chang, X., Wang, L., Liu, D., & Fu, W. (2023). Review of UAV Autonomous Grade Evaluation. In W. Fu, M. Gu, & Y. Niu (Eds.), Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022 (pp. 1845-1856). (Lecture Notes in Electrical Engineering; Vol. 1010 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-0479-2_171

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title = "Review of UAV Autonomous Grade Evaluation",

abstract = "With the research boom of artificial intelligence, there is less and less human involvement in the military. Against the background of rapid development of autonomous perception technology and autonomous decision-making technology, UAVs gradually enter the era of autonomy and present intelligent performance characteristics. How to evaluate the autonomous capability of UAVs has become a new challenge for the evaluation of UAV combat effectiveness. This paper first discusses the evolution of the connotation of UAV autonomy, summarizes the research progress of domestic and foreign UAV autonomy evaluation methods in different periods and contexts, conducts a comparative analysis based on the objects and needs of the evaluation, and finally analyzes the difficulties in the development of index systems and evaluation methods based on the current UAV autonomy evaluation research progress, and discusses the development trend of UAV autonomy evaluation in the future.",

keywords = "Autonomous degree grading, Autonomy, Unmanned aerial vehicle",

author = "Xiaofei Chang and Le Wang and Dakai Liu and Wenxing Fu",

note = "Publisher Copyright: {\textcopyright} 2023, Beijing HIWING Sci. and Tech. Info Inst.; International Conference on Autonomous Unmanned Systems, ICAUS 2022 ; Conference date: 23-09-2022 Through 25-09-2022",

year = "2023",

doi = "10.1007/978-981-99-0479-2_171",

language = "英语",

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booktitle = "Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022",

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Chang, X, Wang, L, Liu, D & Fu, W 2023, Review of UAV Autonomous Grade Evaluation. in W Fu, M Gu & Y Niu (eds), Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022. Lecture Notes in Electrical Engineering, vol. 1010 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 1845-1856, International Conference on Autonomous Unmanned Systems, ICAUS 2022, Xi'an, China, 23/09/22. https://doi.org/10.1007/978-981-99-0479-2_171

Review of UAV Autonomous Grade Evaluation. / Chang, Xiaofei; Wang, Le; Liu, Dakai et al.
Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022. ed. / Wenxing Fu; Mancang Gu; Yifeng Niu. Springer Science and Business Media Deutschland GmbH, 2023. p. 1845-1856 (Lecture Notes in Electrical Engineering; Vol. 1010 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - With the research boom of artificial intelligence, there is less and less human involvement in the military. Against the background of rapid development of autonomous perception technology and autonomous decision-making technology, UAVs gradually enter the era of autonomy and present intelligent performance characteristics. How to evaluate the autonomous capability of UAVs has become a new challenge for the evaluation of UAV combat effectiveness. This paper first discusses the evolution of the connotation of UAV autonomy, summarizes the research progress of domestic and foreign UAV autonomy evaluation methods in different periods and contexts, conducts a comparative analysis based on the objects and needs of the evaluation, and finally analyzes the difficulties in the development of index systems and evaluation methods based on the current UAV autonomy evaluation research progress, and discusses the development trend of UAV autonomy evaluation in the future.

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Review of UAV Autonomous Grade Evaluation

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