"Sensor fusion" is the process of merging multiple data from disparate objects.
This form aims to collect your feedbacks and potential usage on Sensor fusion.
In few words, Sensor fusion is the process of combining sensory data or data derived from disparate sources such that the resulting information has less uncertainty than would be possible when these sources were used individually (*).

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(*) Definition source :  Wikipedia - https://en.wikipedia.org/wiki/Sensor_fusion
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Before this survey, were you familiar to Sensor Fusion
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How many sensor do you have in your collection ?
How likely would you be to have Sensor Fusion feature on t6 ?
I don't care
I'd like it
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How do you believe Fusion Sensor would brings you the most ? Please rate each levels :
Useless but why not
It can fit my needs
Sure I need that
Level 0: Fusion of raw data in form of signal refinement to obtain preliminary information about the characteristics of the observed object or situation.
Level 1: Data is processed to specify the position or identity of an entity, or to classify characteristics of it. This is called the object refinement.
Level 2: Relationships between objects and events considering the environment leads to a situation refinement by, e.g., analyzing relation structures.
Level 3: Characterized as the threat refinement. In general, this can be interpreted as a risk estimation by drawing inferences or predictions for application-specific operations.
Level 4: The performance improvement of the entire fusion process by refining the elements of it during a suitable type of monitoring.
Level 5: A process of cognitive refinement via optimizing the interaction of the process with the user, that is dissociated from the previous levels.
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