Prediction of driving dynamics in the context of interactive driving simulation

Keno Pape (Paderborn University)
Research Theme
R2 Prosilience & Robustness
Intelligent Systems Prediction Self-aware AI

Interactive assistance systems must be capable of anticipating the operator behavior for a certain time period in order not only to react to dangers but also to personal preferences. Interactive driving simulation serves to investigate the value of such personalized intelligent systems by using data-driven methods to explicitly incorporate individual driving behavior as part of the control strategy and thus achieve the best possible immersion.