Günther, Adrian
Automatisierte Fahrfunktionen haben sich fest in der Automobilindustrie etabliert. Insbesondere Einparkvorgänge lassen sich aufgrund der geringen Geschwindigkeiten und des vergleichsweise kleinen Betriebsraums sehr gut automatisieren. Um von den Insassen akzeptiert zu werden, muss eine Pkw-Parkfunktion jedoch souverän und mindestens so schnell agieren wie der Mensch. IPG Automotive, die Hochschule Kempten und MdynamiX zeigen, wie die eigenentwickelte Vehicle-in-the-Loop-Methode die durchgängige Bewertung automatisierter Fahrfunktionen unterstützen kann.
Für viele Autofahrer ist das Einparken eine tägliche Herausforderung, für die einen mehr, für die anderen weniger. Ebenso gibt es in modernen Fahrzeugen Einparkassistenzsysteme, die diese Aufgabe sehr gut erledigen, und solche, die sie viel schlechter erledigen. Um sowohl manuelle Einparkmanöver als auch Parkmanöverassistenten objektiv bewerten zu können, hat die Hochschule Kempten in Zusammenarbeit mit MdynamiX eine Kundenstudie mit 21 Teilnehmern und verschiedenen Einparkassistenten durchgeführt.
For many drivers, parking is a daily challenge, for some more for others less. Likewise, there are parking assistance systems in modern vehicles that do this task very well and those that do it much worse. In order to be able to objectively evaluate both manual parking maneuvers and parking assistants, Kempten University of Applied Sciences, in cooperation with MdynamiX, conducted a customer study with 21 participants and various parking assistants.
For many drivers, parking is a necessary challenge. There are even drivers who avoid certain parking spaces because their parking skills seem to be insufficient. Without doubt, there are drivers who are very good at parking and also drivers who are less good at it. Similarly, in modern vehicles you will find parking ma-neuver assistance systems (PMAs) which do this task very well and those which do it much worse. In attribute-based development, the pursuit of goals based on objective key performance indicators (KPI's) are essential. To be able to evaluate manual parking maneuvers as well as PMAs, the University of Ap-plied Sciences Kempten (UAS Kempten) in cooperation with MdynamiX has conducted a customer study with 21 participants and different PMAs. The data-base was used to develop a method for the objective evaluation of parking per-formance in general and to correlate this with the subjective evaluation. The goal of this new evaluation method was to analyze the parking maneuver in its different phases, from the selection of the parking space to the final standstill of the vehicle and parking out. Different steering, braking and acceleration strate-gies were examined in their characteristics and the customer experience, too. For example, the question arises as to which speeds are favored and whether it is better to steer when stationary or while driving, which could have a major ef-fect on e.g. comfort experience, tire wear etc. In addition, the question arises which approaching and related braking and acceleration strategy is perceived as more pleasant. The objective evaluation method is based on KPIs, which show the parking maneuver performance in its basic characteristics in detail. In the large-scale study at UAS Kempten, this new evaluation method was applied to manual and fully automated parking maneuvers. For the analysis of the KPIs, extensive physical measurement data was collected and evaluated. Based on this evaluation, automatically and manually driven parking scenarios can be funda-mentally analyzed. The manually driven parking maneuvers define the reference and will be compared to the performance of the PMAs with the developed KPIs.