Daniel Adelberger

• Doctor of Engineering
• Project Manager at Elektrobit Automotive GmbH

Safety assessment of Highly Automated Vehicles, including Advanced Driver Assistance Systems and Advanced Driving Functions, is of paramount importance for the acceptance and diffusion of these technologies. On-road testing alone is no option due to the enormous time requirements, so virtual testing is generally considered to be a necessary complem...

Die vorliegende Masterarbeit beschäftigt sich mit der Anwendung datenschutzrechtlicher Implikationen auf den Bereich der Fahrzeugsensorik, wobei primär auf die Erfassung personenbezogener Daten aus der Umgebung eingegangen wird. Der rechtliche Rahmen in Bezug auf den Straßenverkehr wurde in den vergangenen Jahrzehnten immer weiter verfeinert und an...

Safety is a topic of huge importance in road traffic. A key component in preventing potentially fatal accidents is a correct perception of the vehicle environment, including other traffic participants, which subsequently enables a safe interaction. This applies to human drivers as well as too Advanced Driver Assistance Systems (ADAS) and, also, to...

Modeling and control design are typically subsequent but independent activities. Optimal control is traditionally developed on the basis of explicit models. While this usually yields good results for linear systems, the same is not as true for nonlinear ones, for which explicit solutions can be found only for few cases. In practice, in most cases r...

Predictive information can significantly improve energy efficiency in a hybrid powertrain, especially for a long drive. Ideally the prediction of a sufficiently long horizon can bring the maximum benefit, however during this horizon the traffic can change, making it impossible to continue the chosen optimal strategy. Due to the limited vision of ve...

Due to the increasingly dominant climate change, "green" energy sources that do not contribute to further damage of the environment play an emerging and relevant role. A big advantage is that this kind of energy can be generated not only on a large scale, such as by wind turbines or hydroelectric power plants, but also by individual households thro...

Safety-critical situations in road traffic often result from incorrect estimation of the future behavior of other road users. Therefore, many Advanced Driver Assistance Systems (ADAS) need prediction models to ensure safety. Physical prediction models offer the advantage of general use and work quite well for short prediction horizons, while for lo...

It is well known that high performing control based on a nominal model may underperform when system parameters change e.g. due to wear. Adaptive controls are a well established way to tackle this problem, but their usage is not trivial, especially when they are used for complex nonlinear systems with constraints like the air path of a combustion en...

Reliable prediction of future blood glucose (BG) values is of high relevance for diabetes patients, since it enables the use of predictive glucose alarms (warning the patient about impending situations with dangerously low or high BG), as well as of model-based algorithms for smart glucose control. Control-oriented graybox process models have prove...

Driver assistance systems have become more and more important in recent years due to the increasing degree of automation in road traffic - especially with regard to increasing safety. These systems do not only provide passive protection for driver and passengers (e.g. through airbags), but - in the near future - will also be able to protect other r...