Functional Safety

Functional safety, Safety of the intended Functionality (SotiF ISO 21448), innovative safety concepts, and more

We support our customers in all issues related to functional safety and safety engineering in a wide variety of industries, such as automotive (ISO 26262, ISO 21448 – SOTIF), agriculture (ISO 25119), and Industry 4.0 (incl. ISO 12100, IEC 61508, ISO 13849).

In particular, we provide support in safety engineering planning and implementation in the following areas:

 

Planning

Support in planning the implementation of the normative requirements in your application context, including applicability of the standards in relation to the requirements. This includes:

  • Information and training on standard-compliant development with regard to functional safety and operational safety (SOTIF), including innovation topics (e.g., safety & AI, safety & cybersecurity, safety & connectivity, safety of autonomous systems in dynamic environments, continuous safety assurance over the entire lifecycle)
  • Interpretation of the requirements with regard to the importance of the product and the approach (processes)
  • Derivation of a concrete approach (process model) for the project, incl. the methods to be applied
  • Introduction and, if necessary, customization of appropriate tooling (e.g., based on our in-house safety engineering tool safeTbox

 

Implementation

Support in the implementation of safety engineering for the various work products (e.g., item definition and operational design domain, hazard and risk analysis, safety requirements, safety analysis, safety concept, safety argumentation, and safety cases in the Goal Structuring Notation):

  • Development of templates and examples for the safety engineering work products
  • Support in the generation of the work products (development by Fraunhofer, coaching)
  • Performance of independent reviews (confirmation reviews, verification review) of the work products based on our many years of cross-domain experience in safety assurance and our knowledge of the state of the art and the state of the practice
  • Licensing of our in-house model-based safety engineering tool safeTbox for modeling and analyzing safety concepts and safety cases in the Goal Structuring Notation (GSN), Component Fault Trees (CFT), Systems-Theoretic Process Analysis (STPA), and model-based hazard and risk analysis

Support in the verification and validation of your system

  • Derivation of validation goals on the basis of a detailed risk analysis regarding functional safety and for your ADAS and AD system, including aspects of operational safety (SOTIF)
  • Derivation of concrete test cases on the basis of safety analyses (e.g., using component fault trees, FMEA) in order to be able to systematically generate the necessary evidences for the safety argumentation
  • Support in planning and implementing a legally compliant and standard-compliant verification and validation strategy
  • Modeling of the verification and validation processes and tools used as well as analysis of vulnerabilities and identification of improvement potential
  • Tool qualification of safety engineering tools and verification and validation tools in accordance with ISO 26262

With Fraunhofer you will encounter great acceptance in the certification process

We are familiar with the major safety standards (esp. IEC 61508 and its domain-specific derivations such as ISO 26262, ISO 25119, or ISO 13849) and have extensive experience regarding the assurance of functional safety in different domains and under a wide variety of project constraints. As a Fraunhofer Institute, we are an internationally recognized, independent authority whose solutions are also widely accepted by regulatory authorities.

 

We help you to manage the risks of future systems

In line with our mission of applied research, we are particularly concerned with safety challenges of future systems. Ever higher levels of automation combined with ever greater interconnection and the increasing use of Artificial Intelligence – all these aspects lead to uncertainties and unknowns, which are difficult to address on the basis of established techniques, methods, and standards.

Here we offer an innovative solution with our dynamic risk management approach. Systems are enabled to assess risks on their own at runtime and, based on this assessment, to implement those measures that guarantee both an acceptable residual risk and the best possible performance. Since no standards have yet been established for the safety assurance of autonomous systems, in particular, we support our customers with our extensive knowledge on existing standardization activities, in which we also participate ourselves.

Our many years of experience in model-based safety engineering techniques, methods, and tools (safeTbox) will help you to efficiently and effectively assure the safety of your current systems. Our novel research approaches can be the crucial enabler to bring your innovative systems of tomorrow to market with outstanding performance, verifiable safety, and a clear conscience!

 

You want to know more? Here you can find recordings of our webinars on the topic of “Safety Engineering”

 

Webinar “Model-based Safety Engineering” [in German]

Webinar “Dynamic Risk Management” [in German]

Webinar “Dependable AI”  [in German]

Our focal areas in Safety Engineering

 

Security for Safety

Hacker attacks on networked systems can also compromise their functional safety. We support you with safety-security co-engineering.

 

safeTbox tool – Easily build and evaluate verifiably safe products

  • Our solution for model-based safety engineering
  • Your lightweight introduction to standard-compliant safety engineering
 

Safety for highly automated and autonomous systems

We are collaborating with our industry partners on the functional safety of autonomous systems in the context of national and international projects as well as bilaterally.

 

ConSerts: Open, adaptive – and yet safe!

Systems are increasingly interconnected, open, and adaptive. Due to these characteristics, established safety engineering methods can only be used to a limited extent.

Our approaches enable automated verification of safety properties between systems for integration or at runtime.

 

Predictive Autonomy Lab

Assistance systems in which vehicles take over all or part of the driving task in certain situations offer us convenience and perhaps even time for other activities. Whether and to what extent this has an impact on safety and how such systems should ideally communicate and cooperate with people is still largely unexplored.

 

Automating Vehicle Validation with AutoTestReduction

  • Generating Logical Scenarios from Traffic Data
  • enables fully automated AI-based generation of logical scenarios
  • Unsupervised learning of logical scenarios with use of auto-encoders and clustering

 

Selected projects from the area of Safety

 

Reference Project: EcoMobility

For a sustainable society with intelligent mobility solutions

 

Success Story Bosch

Software replaces
expensive hardware

Flexible software safety architecture for hardware without safety assurance

 

Success Story Hitachi

Safety engineering for autonomous driving systems

In a research collaboration, Hitachi and Fraunhofer IESE examined the necessary scope for future safety engineering.

 

Success Story SICK AG

Digital Twin for safety

Digital Twins belong to the enablers for autonomous systems and enable “Plug&Produce”. For safety, we realize “Plug&Safe”.

 

Reference Project: Japan Manned Space Systems Corporation (JAMSS)

Control and test procedures for AI systems

Fraunhofer IESE supported JAMSS in assessing the potentials of agility in regulated domains.

 

Reference Project: ExamAI

Control and testing procedures for AI systems

In the publicly funded project ExamAI, Fraunhofer IESE is collaborating with an interdisciplinary team to investigate what control and testing procedures for systems with Artificial Intelligence could look like in the areas of industrial production and human resource management.

 

Reference Project: e.GO Mobile AG

Functional safety for an all-electric passenger car

Fraunhofer IESE supported e.GO Mobile AG in the safety engineering of its electric vehicle e.GO Life.

 

 

 

 

 

Reference Project DEIS

Dependability Engineering Innovation for Cyber-Physical Systems

Development of a holistic approach for the safety assurance of cyber-physical systems at development time and at runtime. Key contributions of Fraunhofer IESE include the concept and the tool realization of “Digital Dependability Identities”, dependability-oriented Digital Twins of systems.

(Duration: 01/2017 - 12/2019)

 

Reference Project SECREDAS

Creation of trustworthy autonomous systems

Methods for the development of components for the creation of trustworthy autonomous systems.

(Duration: 05/2018 – 04/2021)

 

Reference Project V&V Methods

Verification & Validation for highly automated driving functions

Development of a methodological approach for the safety case of highly automated and autonomous vehicles (SAE level 4/5) for homologation in urban environments. The project is part of the VDA lead initiative “Interconnected and Automated Driving”. 

(Duration: 07/2019-06/2023)

We support you, too, in leading your systems into a successful future! 

 

Contact us!!

We will be happy to support you and make time for you!

Schedule an appointment with us, by email or phone.

Publications

Model-based safety, security and systems engineering with safeTbox

  • Velasco Moncada, D.S. Hazard-driven realization views for Component Fault Trees. Softw Syst Model (2020).
  • Velasco Moncada, D.S., Reich, J., Tchangou, M.: Interactive information zoom on component fault trees. In: Schaefer, I., Karagiannis, D., Vogelsang, A.,Méndez, D., Seidl, C. (eds.) Modellierung 2018, pp. 311–314. Gesellschaft für Informatik e.V, Bonn (2018)
  • S. Velasco, Towards proper tool support for component-oriented and model-based development of safety critical systems, Proceedings of the 4th Commercial Vehicle Technology Symposium, Kaiserslautern, Germany, CVT 2016.
  • M. Kaessmeyer, S. Velasco, M. Schurius, Evaluation of a systematic approach in variant management for safety-critical systems development, Proceedings of the International Conference on Embedded and Ubiquitous Computing, Porto, Portugal, EUC 2015.
  • P. Antonino, S. Velasco, M. Trapp M., J. Reich. iSaFe: An integrated Safety Engineering Tool-Framework. Proceedings of the International Workshop on Dependable Control of Discrete Systems, Cancun, Mexico, 2015.Kaiser, B., Schneider, D., Adler, R., Domis, D., Möhrle, F., Berres, A., ... & Rothfelder, M. (2018, June). Advances in component fault trees. In Proc. of ESREL.
  • Martin, H., Ma, Z., Schmittner, C., Winkler, B., Krammer, M., Schneider, D., ... & Kreiner, C. (2020). Combined Automotive Safety and Security Pattern Engineering Approach. Reliability Engineering & System Safety, 106773.
  • Schneider, D., Trapp, M., Dörr, J., Dukanovic, S., Henkel, T., Khondoker, R., ... & Zelle, D. (2017). Umfassende Sicherheit. Informatik-Spektrum, 40(5), 419-429.

 

Safety for open, adaptive, and collaborative autonomous systems

  • Schneider, D., & Trapp, M. (2013). Conditional safety certification of open adaptive systems. ACM Transactions on Autonomous and Adaptive Systems (TAAS), 8(2), 1-20
  • Feth, Patrik (2020): Dynamic Behavior Risk Assessment for Autonomous Systems. Dissertation. Technical University Kaiserslautern, Germany 
  • Cheng, B. H., Eder, K. I., Gogolla, M., Grunske, L., Litoiu, M., Müller, H. A., ... Schneider, D. (2014). Using models at runtime to address assurance for self-adaptive systems. In Models@ run. time (pp. 101-136). Springer, Cham.
  • Schneider, D., Trapp, M., Papadopoulos, Y., Armengaud, E., Zeller, M., & Höfig, K. (2015, November). WAP: digital dependability identities. In 2015 IEEE 26th International Symposium on Software Reliability Engineering (ISSRE) (pp. 324-329). IEEE. 
  • Trapp, M., Schneider, D., & Weiss, G. (2018, September). Towards safety-awareness and dynamic safety management. In 2018 14th European Dependable Computing Conference (EDCC) (pp. 107-111). IEEE
  • Schneider, D., Trapp, M. (2018). B-space: dynamic management and assurance of open systems of systems. Journal of Internet Services and Applications, 9(1), 1-16
  • Adler, R., Akram, M. N., Feth, P., Fukuda, T., Ishigooka, T., Otsuka, S., ..., Yoshimura, K. (2019, October). Engineering and Hardening of Functional Fail-Operational Architectures for Highly Automated Driving. In 2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) (pp. 30-35). IEEE
  • Feth, P., Adler, R., Fukuda, T., Ishigooka, T.,Otsuka, S., Schneider, D., ... Yoshimura, K. (2018, September). Multi-aspect safety engineering for highly automated driving. In International Conference on Computer Safety, Reliability, and Security (pp. 59-72). Springer, Cham
  • Reich, Jan; Zeller, Marc; Schneider, Daniel (2019): Automated Evidence Analysis of Safety Arguments Using Digital Dependability Identities. In Romanovsky, Birukou (Eds.): Computer Safety, Reliability, and Security, vol. 11698. 1st ed. [Place of publication not identified]: Springer International Publishing (Lecture Notes in Computer Science), pp. 254–268. 
  • Ran Wei, Jan Reich, Tim Kelly, Simos Gerasimou (2018): On the Transition from Design Time to Runtime Model-Based Assurance Cases. In: Proceedings of 13th International Workshop on Models@run.time at 21st International Conference on Model Driven Engineering Languages and Systems (MODELS). Copenhagen, Denmark. 
  • Jan Reich, Daniel Schneider (2018): Towards (Semi-)Automated Synthesis of Runtime Safety Models: A Safety-Oriented Design Approach for Service Architectures of Cooperative Autonomous Systems. In: Proceedings of 13th International ERCIM/EWICS/ARTEMIS Workshop on "Dependable Smart Embedded and Cyber-physical Systems and Systems-of-Systems" - DECSoS @ SafeCOMP. Västerås, Sweden.