MAKE SUBJECTIVE FUNCTION PERCEPTION OBJECTIVELY MEASURABLE

ADAS objectification: precise KPIs and target values for driver assistance systems

How comfortable, intuitive, or intrusive a driver assistance function feels is initially a subjective assessment. ADAS objectification translates these perceptions into measurable KPIs – creating robust target values for targeted function development.

  • How is the behavior of your ADAS function perceived by the driver?
  • Which measurable KPIs objectively reflect comfort, intuitiveness, and functional performance?
  • How can subjective assessments be translated into robust target values for function development?

Why technically correct ADAS functions do not automatically convince drivers

Our ADAS benchmark with auto motor und sport – a test series we conduct together on a regular basis – shows that even technically functioning driver assistance systems can become a burden rather than a relief in real-world driving. This is because ADAS functions are often primarily designed to meet regulatory and safety-related requirements such as NCAP.

For high customer acceptance, this is not enough. The key is to combine regulatory requirements with actual customer needs when defining KPIs and target values.

Logo der Zeitschrift auto motor und sport auf der Jacke eines Projektmitglieds der gemeinsamen ADAS-Testreihe von MdynamiX, auto motor und sport und dem IFM. In der Hand hält die Person eine Checkliste zur Vorbereitung der bevorstehenden Testfahrt.

Gesamtflotte der Fahrzeuge, die dem Benchmark unterzogen werden, vor dem Shelter16, dem Hauptsitz von MdynamiX. Testingenieure von MdynamiX, dem IFM und auto motor und sport stehen um die Fahrzeuge und besprechen die finalen Testabläufe.

Our services at a glance

  • Development of objective KPIs and target values – Translating subjectively perceived functional characteristics into measurable evaluation criteria.
  • Development of maneuver and test catalogs – Definition of reproducible driving scenarios for the objective evaluation of ADAS functions.
  • Objectification under real-world driving conditions – KPI-based measurement and analysis of ADAS performance on ground-truth routes.
  • Analysis at function and complete-vehicle level – Objective evaluation of functional behavior within the relevant vehicle context.
  • ADAS benchmarking and competitive comparison – Comparison of different vehicles and systems based on objective KPIs.

Real-world function evaluation on ground-truth routes

For a robust evaluation, we test ADAS functions under real-world traffic and environmental conditions on selected ground-truth routes. Different road types and driving situations enable reproducible analysis of functional performance based on defined KPIs.

With MXeval, we capture and evaluate the relevant measurement data directly during the test drive. This makes deviations from target values visible and identifies specific optimization potential for function development.

YouTube Video

In this video, we demonstrate the objectification of vehicle functions using a lane-keeping assistance system as an example with our MXeval evaluation and targeting software.

Our experts perform a maneuver to evaluate on-center steering feel, known as the Weave Test, and demonstrate how easily objective measurement data can be captured during the test drive and the results generated live in the vehicle immediately afterwards.

Benefits of ADAS objectification

  • Subjective perception of functional behavior becomes objectively measurable and assessable through defined KPIs.
  • Robust target values provide a clear basis for the targeted development and optimization of ADAS functions.
  • Reproducible evaluation under real-world driving conditions provides transparency into functional performance and optimization potential.

Translate subjective functional perception into objectively measurable KPIs and robust target values for your ADAS development. Let’s talk about your ADAS objectification.

Seda Aydogdu
Head of ADAS/AD & UX
+49 1515 0786 680
solution@mdynamix.de

FAQs – Frequently Asked Questions about ADAS objectification