Ingmar Langer

Algorithm for Driver Intention Detection with Fuzzy Logic and Edit Distance

Driver intention detection is helpful to parameterize advanced driver assistance systems to reduce the warning dilemma and so to raise the drivers acceptance for such systems. An algorithm to predict drivers intention with Fuzzy Logic and Edit Distance is presented. The main features and the functionality is explained. The necessary steps for training and validation of the algorithm are presented. The performance of the first configuration is discussed and the future steps for improving the performance are shown.

Human Focused Development of a Manoeuvre Prediction in Urban Traffic Situations Based on Behavioural Sequences

Advanced driver assistance systems (ADAS) can help to reduce road accidents. In order to increase the positive effects of these systems the warnings and interventions have to be adjusted to the driver’s behaviour. With regard to the human behaviour a real time capable algorithm for predicting driver’s manoeuvres was developed.