Fleckner + Simon UPDATE

Interview to Whitepaper SaFAD

Autonomous systems are a major challenge for the automotive industry. In addition to the required functions (most of them have already been implemented), it is important to ensure the security of the systems under all (un-)conceivable circumstances. Vehicle manufacturers and suppliers have carried out a study on the design of future levels 3 and 4 and published the results in the White Paper Safety First for Automated Driving (SaFAD).

In an interview, graduate computer scientist Marc Ruppert, a long-time employee and consultant at F + S Fleckner and Simon Informationstechnik GmbH, explains what knowledge the study has gained and what additional requirements for system development have been defined for levels 3 and 4.

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Information on current availability


The Coronavirus is spreading rapidly. As a company, the health and safety of our employees as well as of our customers and business partners are important to us and have top priority.

For this reason, a large part of our workforce has been working in the home office since mid-March. Thanks to our high-quality and powerful IT infrastructure, a smooth switch was possible. The project work continues as usual. To use the special technical equipment for development and testing, our employees coordinate their presence in the office. This guarantees that only a single person uses the respective equipment.

You can reach your contacts as usual via their business or mobile numbers or, of course, by email. Our head office is still open during normal business hours and can be reached at +49 6431 409010 or This email address is being protected from spambots. You need JavaScript enabled to view it..

Interview to Pegasus Project

PegasusTo test automotive vehicles millions of kilometers were driven and they are far from sufficient to guarantee the safety of these systems. To develop a feasible and affordable alternative for verification and validation of autonomous systems the Federal Ministry for Economy Affairs and Energy conducted the Pegasus project.

The results of the project and what this means for the development of level 3 systems explains Josef Horstkötter, Dipl.Ing., owner and managing director of F+S Fleckner and Simon Informationstechnik GmbH in an interview.

Artificial Intelligence and Deep Learning

KI Deep LearningArtificial Intelligence (AI) is also being used ever more extensively in today’s motor vehicles, whether for image analysis and radar plotting or for speech and text recognition. Autonomous driving without AI is simply inconceivable.

What is easy for humans, namely to learn from experience, is very difficult for computers. A wide-spread approach to AI systems is Deep Learning, in which artificial neuronal networks with numerous so-called hidden layers are implemented between the input and output layer.

We have examined this method intensively, and our employees have attended in-depth advanced training on the subjects of AI and Deep Learning.

In addition to the theoretical principles of the various neuronal networks, our employees have developed networks and models themselves on the basis of analyses of natural language and have derived automatic statistical models from existing databases.

We now have the expertise to support our customers with assistance systems and autonomous driving.

New version of Mechanical SPICE

In January 2020 a new version of SPICE for Mechanical Engineering was published by intacsTM. The Process Assessment Model SPICE for Mechanical Engineering is now available in version 1.6.

The changes from V1.5 are:

  • References to ISO/TS 16949 replaced by IATF 16949
  • German parts of Annex E translated to English
  • Some minor formal inconsistencies and typos corrected
  • “Proposal” in title removed

For more details see document revision “1.6 with Annotations”.

André Zeh, Managing Director of F+S Fleckner und Simon Informationstechnik GmbH and member of the intacsTM advisory board, is a founding member of the intacsTM Working Group „SPICE for Mechanical Development“. From the beginning he made a massive contribution to setup the Process Assessment Model SPICE for Mechanical Engineering.