An intelligent evaluation method of application scenario complexity level of unmanned swarms

Wenliang Wu, Xingshe Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the development of intellectualization and collectivization of unmanned systems, more and more institutions and scholars pay attention to the research of intelligent unmanned swarm system, and the evaluation of intelligence level of unmanned swarm systems becomes a new research problem. Scenario complexity is an important evaluation aspect to scientifically quantify the intelligence level of unmanned swarms. This paper proposes a generic three-dimensional intelligence level evaluation model for unmanned swarms. Then it mainly establishes the metrics of scenario complexity for urban search applications, and introduced an evaluation method of scenario complexity level based on Self-Organizing Fuzzy Neural Network(SOFNN). Experiment results show that this intelligent method can achieve good application effect in evaluating scenario complexity level for urban search by UAV swarms.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020
EditorsJia Hu, Geyong Min, Nektarios Georgalas, Zhiwei Zhao, Fei Hao, Wang Miao
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1292-1299
Number of pages8
ISBN (Electronic)9781665414852
DOIs
StatePublished - Dec 2020
Event18th IEEE International Symposium on Parallel and Distributed Processing with Applications, 10th IEEE International Conference on Big Data and Cloud Computing, 13th IEEE International Symposium on Social Computing and Networking and 10th IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020 - Virtual, Exeter, United Kingdom
Duration: 17 Dec 202019 Dec 2020

Publication series

NameProceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020

Conference

Conference18th IEEE International Symposium on Parallel and Distributed Processing with Applications, 10th IEEE International Conference on Big Data and Cloud Computing, 13th IEEE International Symposium on Social Computing and Networking and 10th IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020
Country/TerritoryUnited Kingdom
CityVirtual, Exeter
Period17/12/2019/12/20

Keywords

  • Intelligence level
  • Scenario complexity
  • SOFNN
  • Unmanned swarms
  • Urban search

Fingerprint

Dive into the research topics of 'An intelligent evaluation method of application scenario complexity level of unmanned swarms'. Together they form a unique fingerprint.

Cite this