Welcome to CADICS

CADICS is an acronym for Control, Autonomy, and Decision-making in Complex Systems and is a broad research area for work within informatics, decision making, and control. The work environment consists of five research groups with different and complementing competences and experiences. Automatic Control (Lennart Ljung), Sensor Informatics (Fredrik Gustafsson), Vehicular Systems (Lars Nielsen), Artificial Intelligence (Patrick Doherty) and Visualization (Anders Ynnerman). The goal is to develop new theory and methods for handling important problems in general decision making. An important aspect is to be able to use and assemble information from several sources to draw correct conclusions from this information.

A concrete example is warning systems for collision avoidance. Cars are fitted with more and more advanced equipment (i.e., radar and camera) for measuring distance to obstacles and other cars and will soon also be furnished with transponders for communication with the surroundings. All such signals together with map information, perhaps GPS receivers, and the motion of the car will give basis for evaluation of the risk for collision and how it can be avoided. Clearly, both the information and the decision situation is complicated, but it is a good example of the the type of problems CADICS will work with. Other corresponding applications are, for example, to treat autonomy in unmanned aircraft, to make correct medical diagnosis, and to supervise air traffic and complex industrial processes, etc.

CADICS will do basic research around questions of how information should be modeled, integrated, visualized and compiled to reach well supported decisions and actions. CADICS will also work with applied research mainly connected to automotive, avionics and medical diagnosis.