Scenario-based validation and verification of automated driving systems
The field of automated driving systems has rapidly evolved over the past years. Press releases have continuously announced new technical achievements and partnerships among OEMs, startups, and mobility service providers. Self-driving technology that operates in urban areas where customer demand is high, such as autonomous shuttles, robot-taxis, and autonomous delivery, focuses on new developments. The companies developing these innovative solutions face challenges in proving safety compliance, meeting regulatory requirements, and achieving user acceptance.
In this white paper, we have partnered with IVEX to explain how to accelerate the safety validation of self-driving vehicles considering a scenario-based approach combined with well-defined safety metrics — Download now to read more.
Develop safe automated driving systems with scenario-based validation
The safety goal of Safety of the Intended Functionality (SOTIF) is to gradually increase the known safe scenarios by discovering unknown and unsafe scenarios and moving them to known and safe scenarios during the development. This can be done using simulation and scenario-based validation methodology, which combines accident databases and other scenario types with extracted driving data logs, public datasets, and continuous simulation to create a database for extensively testing in the virtual world. The test results are then correlated and assessed using different safety metrics, such as the IVEX safety models and metrics. If the results pass the certification and homologation criteria, safety certificates can be issued.
Integrated software toolchain accelerates ADS safety validation
Engineers need at least two things for reliable virtual verification and validation of autonomous driving systems: reliable software tools and validated mathematical models. Regarding reliable software tools, Siemens offers an integrated software environment for virtual verification and validation, which allows scenario imports from different databases, scenario space exploration, and design optimization. As for validated mathematical models, IVEX offers the Safety Analytics tool to ingest driving information from simulation and real-world tests enabling scenario extraction, categorization, extensive ADS/ADAS validation, and detailed safety assessment of driving policies. The proper integration of these tools from Siemens and IVEX enables engineers to build robust scenario-based cases seamlessly to accelerate safety validation.
In this white paper, discover the integrated software toolchain from Siemens Digital Industries Software combined with IVEX’s Safety Analytics tool solution that accelerates the safety validation of self-driving vehicles — Register now to continue reading.