Distributed Data Fusion For Situation Assessment
Objective
The objective of the thesis is to implement a distributed
data fusion algorithm for the assessment of a scenario of
interest. This algorithm should be implemented on the For
Boards Netus G20 available in the Robotics and Sensor Fusion
Laboratory running Linux on board. This algorithm could be
used for instance to perform a distributed target recognition
task by fusing all the information gathered by the single
devices. The target assessment resulting from the
collaboration of the sensor network should be more reliable
being the combination of a larger set of data. Possibly, some
theoretical aspects could be also investigated to extend the
data fusion algorithm to dynamical scenarios where the
connectivity among the nodes might vary over time.
Required Skills
The candidate should be familiar with the Linux Operative System. Furthermore, he/she should have a good knowledge of the C/C++ programming languages.