Workshop Details

Location: Workshop Room I (onsite), The Autonomous Main Event
Date: September 14, 2023
Time: 13:40 – 15:10 CEST



Workshop description

Lessons learned from the practitioners: How to develop and integrate an automated driving stack in real-life 


The development of complex technical systems for automated driving remains a significant challenge. This is primarily due to the complexity of the driving and function environments as well as the diversity of sensor modalities such as 4D radar, LiDAR point clouds, and cameras. The first steps of development, like defining requirements, are the most important and critical ones, besides the algorithm/software development, system integration and validation. These directly influence the appropriate perceptual algorithms and techniques for situation assessment. Currently, these technology components are still undergoing substantial development as there is no one-size-fits-all solution.  

In this workshop, we will provide practical insights on how to successfully construct safety-critical systems for automated driving that are scalable and modular. We will highlight various aspects of the development, including: 

  • A robust methodology to derive functional requirements, and to assess and validate at the system level.  
  • Selecting the right technology blocks, like perception, sensor fusion, situation assessment, and driving control that fulfill SoTIF and ISO26262 requirements. 
  • Validation infrastructures that compute metrics and KPIs based on both synthetic and real-world sensor data. 

The workshop will start with a short introduction to the techniques, methods and algorithms developed and successfully applied by FDTech and BASELABS and lead to a discussion with the audience about the implications and possible challenges of the presented development approach. 

Workshop Speakers

Martin Kellner, Associate Partner, McKinsey & Company
Johannes Deichmann, Partner, McKinsey & Company
Sven Beiker, Managing Director, Silicon Valley Mobility

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