Due to rapid advances in sensor technology, algorithms, communication, electronics, and actuator technology, our mobility is currently undergoing a major change. Currently, networking and electrification are still in the foreground. However, with driver assistance systems such as speed, steering, and lane change warning systems, we are close to highly automated driving. Automated and networked vehicles will relieve us of routine tasks, increase traffic safety, offer new possibilities and services in public transport, and help to increase traffic efficiency and reduce environmental pollution. Future highly automated as well as autonomous vehicles will use new technologies (e.g. methods of artificial intelligence) to replace us partially or completely when navigating a vehicle from a starting point to a destination. However, road hazards must be avoided, and response to changing traffic conditions must be determined. When driving autonomously, we will only be on board as passengers and can enjoy the landscape from the side windows. The bachelor’s program in Autonomous Vehicle Engineering deals with the interaction of different technologies in order to qualify engineers for the development of automated mobility systems by teaching the scientific and engineering basics and methods. The concepts of these phases are taught in a well-founded way. Laboratory internships and practical phases promote methodological competence. Group projects and seminars strengthen social and personal competence. Later, graduates with a broad interest in interdisciplinary trends in digitalized mobility will find many meaningful fields of activity.
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- Full Time
General or subject-related higher education entrance qualification or the entrance qualification for studies at universities of applied sciences, strong, solid knowledge of mathematics, in particular the ability to think abstractly, logically and system-oriented and to formalise approaches to solutions and competencies in the fields of natural sciences, information technology and technology.
- 3.5 years
- Full Time
- On Campus Learning