This paper addresses the problem of target detection and localisation in a limited area using multiple coordinated agents. The swarm of Unmanned Aerial Vehicles (UAVs) determines the position of the dispersion of stack effluents to a gas plume in a certain production area as fast as possible, that makes the problem challenging to model and solve, because of the time variability of the target. Three different exploration algorithms are designed and compared. Besides the exploration strategies, the paper reports a solution for quick convergence towards the actual stack position once detected by one member of the team. Both the navigation and localisation algorithms are fully distributed and based on the consensus theory. Simulations on realistic case studies are reported.}, keywords={UAV;gas monitoring;linear consensus
Facinelli, D., Larcher, M., Brunelli, D., Fontanelli, D. (2019). Cooperative UAVs Gas Monitoring using Distributed Consensus. Piscataway, NY, USA : IEEE [10.1109/COMPSAC.2019.00072].
Cooperative UAVs Gas Monitoring using Distributed Consensus
Brunelli, Davide;
2019
Abstract
This paper addresses the problem of target detection and localisation in a limited area using multiple coordinated agents. The swarm of Unmanned Aerial Vehicles (UAVs) determines the position of the dispersion of stack effluents to a gas plume in a certain production area as fast as possible, that makes the problem challenging to model and solve, because of the time variability of the target. Three different exploration algorithms are designed and compared. Besides the exploration strategies, the paper reports a solution for quick convergence towards the actual stack position once detected by one member of the team. Both the navigation and localisation algorithms are fully distributed and based on the consensus theory. Simulations on realistic case studies are reported.}, keywords={UAV;gas monitoring;linear consensusI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
