Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection

Date
2020-06-25
Authors
Florez-Lozano, Johana
Caraffini, Fabio
Parra, Carlos
Gongora, Mario Augusto
Journal Title
Journal ISSN
ISSN
1566-2535
Volume Title
Publisher
Elsevier
Peer reviewed
Yes
Abstract
This work presents a novel intelligent system designed using a multi-agent hardware platform to detect improvised explosive devices concealed in the ground. Each agent is equipped with a different sensor, (i.e. a ground-penetrating radar, a thermal sensor and three cameras each covering a different spectrum) and processes dedicated AI decision-making capabilities. The proposed system has a unique hardware structure, with a distributed design and effective selection of sensors, and a novel multi-phase and cooperative decision-making framework. Agents operate independently via a customised logic adjusting their sensor positions - to achieve optimal acquisition; performing a preliminary “local decision-making” - to classify buried objects; sharing information with the other agents. Once sufficient information is shared by the agents, a collaborative behaviour emerges in the so-called “cooperative decision-making” process, which performs the final detection. In this paper, 120 variations of the proposed system, obtained by combining both classic aggregation operators as well as advanced neural and fuzzy systems, are presented, tested and evaluated. Results show a good detection accuracy and robustness to environmental and data sets changes, in particular when the cooperative decision-making is implemented with the neuroevolution paradigm.
Description
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link
Keywords
land mine detection, improvised explosive device, neuroevolution, genetic fuzzy systems, feature extraction, sensor fusion
Citation
Florez-Lozano, J., Caraffini, F., Parra, C., Gongora, M. (2020) Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection. Information Fusion, 64, pp. 32-49.
Research Institute
Institute of Artificial Intelligence (IAI)