UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance

Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry

Abstract: 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 Rossler 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.

External IDs:dblp:journals/firai/StolfiBDB21