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Cooperative intention detection using machine learning. Advanced cyclist protection in the context of automated driving
(kassel university press, 2021)
Cyclists will play an essential role in future traffic. It is crucial to detect cyclists and predict their intentions to avoid accidents and achieve a highly efficient traffic flow. Vehicles equipped with sensors, data processing systems, and communication abilities acquire and maintain a local model of their surrounding traffic environment, e.g., crossing cyclists. Cooperating and interacting vehicles, roadside units, and cyclists equipped with smart devices and other body-worn sensors exchange information.They form ...
Buch
Multi-Year Time-Series-Based power system planning with hybrid optimization and supervised learning methods
(kassel university press, 2021)
The increasing share of renewable energy sources (RES) in the power system necessitates new planning methods for power systems systems. On the one hand, flexible operational measures must be included in planning. On the other hand, conventional measures have to be considered. An integrated optimization of both measures is needed. This integrated optimization requires time series simulations of the power system in comparison to traditional worst case planning approaches.
The high voltage (HV) level has the highest ...
Buch
Optimizing Control of Distributed Cyber-Physical Systems
(kassel university press, 2021)
In this thesis, a set of modeling and control strategies are proposed for Cyber-physical systems (CPS), which aim at ensuring a safe, reliable, and highly performant operation of each local subsystem contained in the CPS. Modeling of CPS is challenging since not only must the tight interconnection of continuous and discrete dynamics of local subsystems be exactly represented, but so must also the interleaving structure between different subsystems. Optimal control of CPS, accordingly, should take into account not ...