Marcel Sheeny

Autonomous cars are close to become a reality. But are we prepared to have autonomous cars in all kinds of scenarios? Deep Neural Networks are extensively used on Video and Lidar sensors showing to have outstanding results for tasks like object recognition and mapping. However those benchmark results are in good weather and those sensors perform poorly in bad weather conditions. Radar sensors are robust to rain, fog and snow. Infrared sensors are capable to sense in low lighting conditions. However radar and infrared datasets are quite limited and have lower resolution compared to video. My project aims to develop an object recognition system using radar and infrared sensors in order to achieve more reliable object recognition in bad weather scenarios. The main research topics of my project are low-THz sensing, imaging radar and deep neural networks.