AgriTech: Deep learning techniques for position estimation based on accelerometers
This topic can be conducted both in English and Hungarian ! / A téma magyarul és angolul is felvehető !
The primary goal of the project is to provide the estimation of the position of a measuring instrument based on the signals of an accelerometer sensor. The reason why the accelerometer is involved is that the instrument cannot be monitored optically, as it is being moved in the soil. Theoretically speaking, the position can be calculated by the double integral of the acceleration. However, in practical applications, the actual sampling frequency can have a strong influence on the quality of the estimation.
The student will work on deep learning techniques that calculate the estimation of the position based on the acceleration history. Various deep learning algorithms are to be developed and evaluated. The involved techniques are, e.g., multilayer feed forward network, recurrent neural network.