A Framework and Method for Intention Recognition to Counter Drones in Complex Decision-Making Environments

Yiming Wang, Bowen Duan, Heng Wang, Yunxiao Liu, Han Li, Jianliang Ai

2025

Abstract

With the large-scale application of drones in various industries and the rapid development of a low-altitude economy, a complex decision-making environment for counter-drones has been formed. Accurate drone intention recognition is of great significance for the defense of core assets such as power facilities. Therefore, based on the proposed intention space description model, this paper establishes a drone intention recognition framework in a complex decision-making environment and defines the key modules and processing procedures. In addition, to further solve the problem of uncertainty in the time window of drone intention recognition information acquisition in complex decision-making scenarios, this paper optimizes the algorithm by introducing a dynamic time window adaptive adjustment mechanism based on the BiLSTM (Bi-directional Long Short-Term Memory) network. The method described was validated through simulation experiments, confirming the effectiveness of the framework presented in this paper. It is capable of performing four types of intention classification, assessing threats, and scoring for offensive targets. The optimized BiLSTM method demonstrates high recognition accuracy. For drone targets with varying intentions, the recognition accuracy exceeds 96% after applying the time window division.

Paper Citation

in Harvard Style

Wang Y., Duan B., Wang H., Liu Y., Li H. and Ai J. (2025). A Framework and Method for Intention Recognition to Counter Drones in Complex Decision-Making Environments. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 913-920. DOI: 10.5220/0013431800003929

in Bibtex Style

@conference{iceis25,
author={Yiming Wang and Bowen Duan and Heng Wang and Yunxiao Liu and Han Li and Jianliang Ai},
title={A Framework and Method for Intention Recognition to Counter Drones in Complex Decision-Making Environments},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={913-920},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013431800003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - A Framework and Method for Intention Recognition to Counter Drones in Complex Decision-Making Environments
SN - 978-989-758-749-8
AU - Wang Y.
AU - Duan B.
AU - Wang H.
AU - Liu Y.
AU - Li H.
AU - Ai J.
PY - 2025
SP - 913
EP - 920
DO - 10.5220/0013431800003929
PB - SciTePress