Dr.-Ing. Frank Schrödel
Feasibility studies on futuristic and autonomous shuttles are currently available in several media reports. These shuttle systems are promising a much higher level of automation than the previous status quo on the automotive market. The assistance systems of commercially available vehicles primarily support the driver through monitoring and warning functions as well as through simple control tasks in special situations such as parking maneuvers or driving on highways. In this presentation, proven results regarding highly automated decision making, movement planning and vehicle dynamic control are presented, which were utilized in the people mover of the project HEAT (Hamburg Electric Autonomous Transportation). In the HEAT Project IAV GmbH developed an highly automated, electric vehicle for local public transport on an urban route. The presented approach is based on classical rule-based decision making, model-based path planning, model-free trajectory planning as well as highly accurate trajectory tracking-control.
Frank Schrödel received his diploma degree in System Technology and Technical Cybernetics at the Otto-von-Guericke-University Magdeburg, 2010. Thereafter, he has achieved his Ph.D. degree at the Chair of Automatic Control at the RWTH Aachen University, 2016 (focus: Robust controller analysis and synthesis). Currently, he is leader of an engineering team at IAV GmbH, which develops solutions in the context of highly automated driving (focusing on decision making, path/trajectory planning and tracking control). His research interests include robust control and highly automated driving.
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