Modern-day ADAS features such as Adaptive Cruise Control, Lane-Keep Assist/LKAS and others are a highly innovative domain. Some developments are driven by regulatory requirements (NCAP etc.), others aim to give car makers an edge over their competition, in terms of comfort and driving pleasure.
Especially for the latter, however, regulatory requirements are insufficient KPIs for designing and testing ADAS features: One of the main challenges is how to define and measure meaningful, objective values for something as emotional and subjective as "driving pleasure." So how can ADAS testing keep up with the innovations in the field?
In this webinar, you will learn how to:
Define objective criteria for ADAS performance
Create ground truth/HD map data for public test roads
Recording reference data for vehicle position/pose during test drives
Analyze relevant driving situations and recreate them in the virtual space/simulation
Our panel will host experts from MdynamiX, Genesys, atlatec and the Kempten University of Applied Sciences in a discussion on these challenges - and how they were met in a joint project for performance car maker Porsche.