Statistical signal processing methods have been increasingly used in vehicles since the introduction of exteroceptive sensors. The methods play a crucial role in the tracking of objects and in estimation algorithms of integrated vehicle safety functions. In order to prevent accidents in complex traffic situations involving many dynamic road users, methods of machine learning are investigated in this working group. The focus lies on methodologies that enable the use of machine learning techniques in combination with model-based approaches for safety-critical applications.
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