Perception and Modeling
The IV group investigates and developes state-of-the-art techniques for vehicle perception and modeling the vehicle’s environment, containing static infrastructure and dynamic objects. Important classes of dynamic objects are pedestrians and (motor)cyclists, the so called Vulnerable Road Users (VRUs), but of course other vehicles, buses, trams and trucks are detected and tracked too. Perception of the environment can be done with a multitude of sensors, including radar, lidar, and cameras.
By understanding where objects are around us, and what kind of objects these are, an intelligent vehicle can also predict future traffic situations, and assess the risks and benefits of different manouvres. Modeling behavior of traffic participants is therefore an important research topic in this group.
Dariu M. Gavrila
Dynamics and Control
Our Dynamics & Control group focuses on vehicle motion control to enhance vehicle safety, steering feel, performance and comfort. The research is supported by various simulation models, driving simulators and experimental test vehicle platforms.
Our Automotive Human Factors research focuses on the safe and comfortable introduction of vehicle automation on public roads. We use on-road experimental vehicles and virtual reality in walking, cycling, truck, and car driving simulators, to investigate and model human behaviour and perception when using or interacting with automated vehicles.