Situation Feature Relevance on Measurement Data

Abstract

Predictive driver assistance systems require information about the future progress of a situation. This may be the upcoming action of the driver, the vehicle course or an event, such as a collision. Due to its complexity, this prediction is often hardly tangible for the human mind, so that machine learning methods to perform this kind of functions are increasing in popularity.