Distributed Data Fusion For Situation Assessment


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.