Reference : UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/49680
UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance
English
Stolfi Rosso, Daniel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PCOG >]
Brust, Matthias R. mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PCOG]
Danoy, Grégoire mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)]
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)]
2021
Frontiers in Robotics and AI
8
5
Yes (verified by ORBilu)
International
2296-9144
[en] In this paper we present a surveillance system for early detection of escapers from a restricted area based on a new swarming mobility model called CROMM-MS (Chaotic Rössler Mobility Model for Multi-Swarms). CROMM-MS is designed for controlling the trajectories of heterogeneous multi-swarms of aerial, ground and marine unmanned vehicles with important features such as prioritising early detections and success rate. A new Competitive Coevolutionary Genetic Algorithm (CompCGA) is proposed to optimise the vehicles’ parameters and escapers’ evasion ability using a predator-prey approach. Our results show that CROMM-MS is not only viable for surveillance tasks but also that its results are competitive in regard to the state-of-the-art approaches.
ONRG
HUNTED
http://hdl.handle.net/10993/49680
10.3389/frobt.2021.616950
https://www.frontiersin.org/article/10.3389/frobt.2021.616950

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