TY - GEN
T1 - A Multi-Dimensional Dynamic Evaluation Method for the Intelligence of Unmanned Aerial Vehicle Swarm
AU - Quan, Wei
AU - Jia, Linpeng
AU - Zhang, Zhao
AU - Chen, Chen
AU - Wang, Lingda
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - With the emergence of unmanned system and swarm intelligence technology, how to describe and evaluate the intelligence of unmanned aerial vehicle swarm (UAVS) has become a challenging topic. An intelligence description framework is established involving the mission execution complexity and mission performance indexes. Multiple dimensions index system is built to express the internal intelligence behavior of the UAVS. To dynamically evaluate the intelligence capability of UAVS from multi-dimension, a dynamic indexes framework based on data yard and combined weighting method is proposed. Intelligence performance under multiple dynamic execution periods and complexities are synthesized to evaluate the intelligence capability. Aiming at discussing UAVS intelligence across missions, the evaluated intelligence capability is transformed to intelligence level by the designed intelligence classification framework and the standard swarm intelligence. An intelligence evaluation instance is provided to verify the effectiveness of the proposed method. The intelligence evaluation framework and method can fully consider the dynamic performance and mission execution complexities of the swarm system, and evaluate the intelligent capabilities of UAVS from multiple dimensions.
AB - With the emergence of unmanned system and swarm intelligence technology, how to describe and evaluate the intelligence of unmanned aerial vehicle swarm (UAVS) has become a challenging topic. An intelligence description framework is established involving the mission execution complexity and mission performance indexes. Multiple dimensions index system is built to express the internal intelligence behavior of the UAVS. To dynamically evaluate the intelligence capability of UAVS from multi-dimension, a dynamic indexes framework based on data yard and combined weighting method is proposed. Intelligence performance under multiple dynamic execution periods and complexities are synthesized to evaluate the intelligence capability. Aiming at discussing UAVS intelligence across missions, the evaluated intelligence capability is transformed to intelligence level by the designed intelligence classification framework and the standard swarm intelligence. An intelligence evaluation instance is provided to verify the effectiveness of the proposed method. The intelligence evaluation framework and method can fully consider the dynamic performance and mission execution complexities of the swarm system, and evaluate the intelligent capabilities of UAVS from multiple dimensions.
KW - UAVs intelligence evaluation
KW - intelligence description framework
KW - intelligence level classification
KW - multi-dimensional evaluation
UR - http://www.scopus.com/inward/record.url?scp=85180131959&partnerID=8YFLogxK
U2 - 10.1109/ICUS58632.2023.10318294
DO - 10.1109/ICUS58632.2023.10318294
M3 - Conference contribution
AN - SCOPUS:85180131959
T3 - Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023
SP - 731
EP - 737
BT - Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023
A2 - Song, Rong
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Unmanned Systems, ICUS 2023
Y2 - 13 October 2023 through 15 October 2023
ER -