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On the initiation phase of a mixed reality simulator for air pollution monitoring by autonomous UAVs

The initiation phase of a mixed reality simulator that is being used for training autonomous Unmanned Aerial Vehicles (UAV) is presented. The simulator aims to adjust the UAVs controllers and their collaborative strategies. The model for the physical phenomena under analysis is a key aspect of the virtual reality environment. This model should be accurate, but also simple and easily configurable. The use of an initiation phase in the application of this mixed reality framework can result in a simplification and an increase in accuracy of the physical model. The monitoring of a smoke plume exhausted by a stack is used to illustrate the application of this technique.