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How to scale automated driving testing with objective KPIs (event in English) // 客観的なKPIを使用して自動運転向けテストをスケールする方法 (英語のみ)
Modern-day AV and 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.





公道のグラウンドトゥルース/ HDマップデータを作成する


Webinar is over, you cannot register now. If you have any questions, please contact Webinar host: Hanna Auseyenka.