Deep learning sensor fusion of images and other data KU Leuven
In this PhD we develop new methods to enable deep learning neural networks to use a combination of data of different nature as input. In contrast to classic image processing CNNs, that only take video data as input, we study the possibilities of adding other sensor data to the same neural network architecture, with the aim to yield an improved accuracy. We will develop and compare novel architectures and fusing methods and evaluate it against ...