The research interests of the Vehicular Applications Group lie in the area of novel systems that combine robust navigation, ad-hoc communications and information processing. We are addressing applications such as safety-of-life relevant cooperative assistance systems for vehicles and collision avoidance systems for vehicles and trains, dynamic coupling of trains, ubiquitous and context aware pedestrian navigation, and activity estimation of pedestrians. Our work is conducted at experimental, simulative and theoretical levels. Much of our activity in the areas of navigation is at the signal processing level with the goal of assessing and improving the performance of future navigation systems in challenging environmental scenarios such as heavy shadowing and multipath or under interference from other signal sources. Many of the problems we address can be formulated as estimation or decision problems and require a good understanding of underlying models, such as utilities, process and sensor models. We make a strong effort to validate our approaches in real world experiments and early prototypes.
The following list describes our current main topics and research activities:
Current Projects and Activities:
Selection of Former Funded Projects: