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As the transition conditions are fulfilled, the states of each event associated
with each Object will make transitions. As a practical example, the event Begin-
ToWalk is identified with the automaton in figure (Figure 3) . “q0” is the initial
state where the automaton is when the event is generated and a transition can
be made to state “q1” as long as the Object in the scene is a “Human”, or to
state “q3” if the Object in the scene is not “Human”. The latter is the final state
when the execution of the automaton finishes. From state “q1” a transition can
be made to state “q2” if the speed of the Object in the scene is equal to 0. How-
ever, while the speed of the Object is greater than 0, the automaton will still be
at state “q1”. From states “q1” and “q2” a transition can be made to the final
state “q3” if the Object disappears from the list of Objects in the scenario. From
state “q2” a transition can be made to state “q1” if the speed of the Object is
greater than 0 and at this very instant the event BeginToWalk associated with
this Object is generated. If the speed is still 0 the automaton does not make a
transition and stays at “q2”.
Fig. 3. Autómata para la deteccion del evento BeginToWalk
Similarly, all the events that can be generated are defined in the event detec-
tion module. The implementation of this method is immediate with verifications
like “case” and “if”, which provides a rapid, sequential, loopless execution. The
automaton conversion to the source code is trivial, which makes it possible to
work with automata diagrams with their resulting benefit for comprehension and
analysis.
4EentFuon
The problems that centralised systems face are synchronisation, redundancy,
contradiction and heterogeneity of the information from different sources. To
address these problems it is necessary to apply methods that solve each of these
stages. Thus, we break down the fusion mechanism into three stages: Acquisition,
Fusion and Standardisation.
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