3D Scene Understanding
My current research focus is on generic object recognition and deep learning for LiDAR- and camera-based 3D scene understanding in complex urban environments.
The main research during my PhD involved statistical models of pedestrian shape and appearance with an application to on-board pedestrian detection for intelligent vehicles. Rather than deriving an explicit model of human appearance, we follow a pattern classification approach, where appropriate models are implicitly learned from a large number of training examples.
This research and corresponding implementation is the main foundation of the Daimler vision-based pedestrian detection system which is available in most Mercedes-Benz car models.