Browsing by Author "Florez-Lozano, Johana"
Now showing items 1-4 of 4
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Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection
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 ... -
A Robust Decision-Making FrameworkBased on Collaborative Agents
Florez-Lozano, Johana; Caraffini, Fabio; Carlos, Parra; Mario, Gongora (Article)Making decisions under uncertainty is very challenging but necessary as most real-world scenarios are plagued by disturbances that can be generated internally, by the hardware itself, or externally, by the environment. ... -
Shallow Buried Improvised Explosive Device Detection Via Convolutional Neural Networks
Colreavy-Donnelly, S.; Caraffini, Fabio; Kuhn, Stefan; Gongora, Mario Augusto; Florez-Lozano, Johana; Parra, Carlos (Article)The issue of detecting improvised explosive devices, henceforth IEDs, in rural or built-up urban environments is a persistent and serious concern for governments in the developing world. In many cases, such devices are ... -
Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform
Florez-Lozano, Johana; Caraffini, Fabio; Parra, Carlos; Gongora, Mario Augusto (Conference)Real-world problems such as landmine detection require multiple sources of information to reduce the uncertainty of decision-making. A novel approach to solve these problems includes distributed systems, as presented in ...