While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...

Abstract: Deep Neural Networks (DNNs) have recently made significant strides in various fields; however, they are susceptible to adversarial examples—crafted inputs with imperceptible perturbations ...

Abstract: For safe firefighting and rescue operations at the scene of a fire, it is extremely important to accurately assess the situation inside a building. Currently, however, it is very difficult ...