Intro
Preface
Organization
Contents
17th International ERCIM/EWICS/ARTEMIS Workshop on Dependable Smart Embedded Cyber-Physical Systems and Systems-of-Systems (DECSoS 2022)
En
1 Introduction
2 ECSEL and KDT JU: The European Cyber-Physical Systems Initiative
3 This Year's Workshop
International Program Committee 2022
Triggering Conditions Analysis and Use Case for Validation of ADAS/ADS Functions
1 Introduction
2 Use Case and Methodology
2.1 ADAS/ADS Function Description
2.2 Operational Design Domain
2.3 Triggering Conditions List

2.4 Relevant Scenarios
2.5 Hazard Analysis and Risk Assessment
2.6 Qualitative Analysis
2.7 Testing and Evaluation
2.8 SOTIF Modifications
2.9 Residual Risk Quantification
2.10 SOTIF Argumentation
3 Outlook
References
A Statistical View on Automated Driving System Safety Architectures
1 Functional Safety and Safety of the Intended Functionality
1.1 Terms
2 Tolerable Risk
3 Current Sense-Plan-Act Architectures
4 Challenge of Control and Protection System Architecture
4.1 Probabilistic Target to Demonstrate

4.2 Functional Safety Related to Systematic E/E-failures
4.3 SOTIF
Low Demand Frequency Events
4.4 SOTIF
High Demand Frequency Events
5 Consequences
5.1 Common Cause Factor
5.2 Architectural Consequence
5.3 Quantitative Injury Risk Reduction Due to the Warning Subsystem
5.4 Further Benefits of the Warning Subsystem
6 Conclusion
References
Building a Test Bed for the Periodical Technical Inspection of Sensors Perceiving the Environment in Autonomous Vehicles
1 Introduction
2 Periodic Technical Inspection in Germany

2.1 Driver Assistance Systems in the Periodic Technical Inspection
3 Sensor Verification in the Field
4 Advancing the Periodical Technical Inspection
4.1 Sensors for the Environmental Perception
4.2 Test Bed for the Sensor Systems in the Periodical Technical Inspection
4.3 Positioning of the Vehicle on the Test Bed
4.4 Inspection of the Sensor Systems
4.5 Positioning of Targets
4.6 Sensor Targets for the Inspection
4.7 Exemplary Test Performed in Regard to the Lidar System
4.8 Required Information About the Vehicle Under Test
4.9 Related Work and Differentiation

5 Conclusion and Future Work
References
Testing and Verification of the Deep Neural Networks Against Sparse Pixel Defects
1 Introduction
2 Related Work
3 Proposed DES-based Approach
3.1 Use of the DE
3.2 Use of the DES
4 Integration into Safety-Critical Systems Development
5 Results
6 Conclusions
References
Observing the Impact of Multicore Execution Platform for TSP Systems Under Schedulability, Security and Safety Constraints
1 Introduction
2 Background and Assumptions
2.1 System Model and Assumptions
2.2 Security and Safety