May 13 – 15, 2025 | Frankfurt/Hanau, Germany

SafetyTesting Challenge

May 13, 2025

Here you see a recap of the program of the SafetyTesting Challenge 2024. As soon as the program of the 2025 conference is finalized, you will find it here.

Tuesday, May 14, 2024

Welcome
Constantin Hoffmann - carhs.training gmbh

Managing future Crash Testing Requirements

What are the future requirements for Crash Testing?
Dr. Karsten Raguse - Volkswagen AG

Full Scale BEV Testing - Requirements for Facilities and Equipment
Battery Impact Testing for new load cases e.g. Scrape Test
Automatic dummy calibration
Universal ATD for forward and rearward facing impacts
Challenges to Sleds due increased weight of AV seats

6DoF Sled - from Digital Modeling to Real Life Application
Rodrigo Coimbra - Volkswagen AG

Pre-Impact Braking on ServoSled
Philipp Tölke - Seattle Safety Europe GmbH

Hybrid Electro-Pneumatic Technology for Impact Testing
Mònica González Gordo - ENCOPIM, S.L.

Working principle and control system architecture
Why using this technology? The advantages.
Technical features and results
Applications: battery testing and pedestrian and occupant protection testing

Pre-Impact Crash Simulation and Dynamic Yawing on a Sled System
Marcel Nickel - Instron GmbH

AEB (Autonomous Emergency Braking)
Dynamic Yawing
8800ML-Retrofit, CrashSim xDT (with Optimized System Model & 10kHz)
Optimized 4th Stage

WorldSID-50 Dummy
Alexander Schmitt - Kistler Instrumente GmbH

THOR AV and THOR 5 Updates
Dr. Thomas Kinsky - Humanetics Europe GmbH

HBM ConnectTM – The Human Body Model for Virtual Testing and Product Development
Dr. Chirag Shah - Humanetics Innovative Solutions, Inc.

Digitalisation of Real Tests and Comparison to Simulation
Andreas Mangold - Photron Deutschland GmbH

Intelligent Testing of ADAS and Automation Functions

Advances and Challenges in Active Safety Testing
Dr. Nils Katzorke - Mercedes-Benz AG

Test Management for complex scenarios
Proving Ground management
Solutions for night, rain, fog and cold weather scenarios
New soft targets for international load cases
New requirements for road user targets
In-Cabin Monitoring

From Virtualization and Automation to Value – Intelligent Scenario Selection with IAV Valdivia Sample
Max Winkelmann - IAV GmbH

The past few years have been characterized by the desire to increasingly complete testing of automated vehicles virtually. A large number of simulators are now available and are constantly being further developed in order to represent the vehicles being tested and their environment as accurately as possible. In order to carry out the large scope of tests that are particularly necessary from SAE Level 3, simulators are increasingly no longer operated manually on the desktop, but are viewed as scalable components that can be executed hundreds or thousands of times in parallel in a cloud if necessary. With appropriate automation, a large number of virtual tests can be carried out - but which tests ultimately have to be carried out? Due to the large number of scenarios that automated vehicles have to master, the scenarios to be tested can no longer be specified completely manually and current standards such as ISO 21448 (SOTIF) explicitly mention the topic of sampling - i.e. the targeted parameterization and variation of scenarios. In our presentation we will present a practical example that integrates virtualization, automation and parameterization of scenarios in a consistent toolchain. The users interact with a central component that provides data storage and system analysis. From this component, test campaigns are initiated and their results are collected. The solution for parameterization is designed to be used in scalable environments. The system behavior is taken into account when selecting the scenarios. Depending on the hardware and software version, the tests carried out are aimed at the scenarios relevant to the validation goal. A solution is presented that enables the analysis of different scenarios in a scalable, efficient and targeted manner. The sum of all the data can then provide important information about the behavior of a vehicle and thus enable tests to be focused, for example on test sites. Only through the integration of virtualization, automation and parameterization is data generated that creates evidence for release, for example as part of validation.

Validating In-Cabin Child Presence Detection Systems
Christian Salm - MESSRING GmbH

Automated comparison of repeatable ADAS tests
Jan Christopher Kolb - Kistler Instrumente GmbH