Szenariobasierte ADAS- & Autonomes-Fahren-Sicherheitssimulation
SelfDrivingSim automatisiert die Entdeckung unbekannter unsicherer Betriebszustände autonomer Fahrzeuge. Angetrieben von einer OpenSCENARIO 2-Engine fuzzt es Edge-Cases über Millionen Parametervariationen nach ISO 21448-Richtlinien.
SOTIF Scenario Runner Zonal Architecture
Central Controller: SOTIF Scenario Runner — ISO 21448 Compliance Engine
Zonal Control Units & TSN Ring
- ASAM OpenSCENARIO 2.0 Interpreter
- Combinatorial Boundary Fuzzer
- Criticality & TTC Safety Metric Evaluator
- Zonal Control Software Under Test (SUT)
- Automated SOTIF Compliance Auditor
Bewältigung der 'unbekannt-unsicheren' Szenarien in der autonomen Mobilität
Im Gegensatz zu ISO 26262 für Hardwarefehler adressiert ISO 21448 SOTIF Gefahren durch funktionale Unzulänglichkeiten fehlerfreier Systeme. SelfDrivingSim variiert Beleuchtung, Trajektorien und Verdeckungen, um algorithmische Fehlerschwellen aufzudecken.
Core Engineering Areas
- ISO 21448 SOTIF Verification — Executing automated test matrices that deliberately probe trigger conditions for performance limitations in perception sensors and motion planners.
- Combinatorial Boundary Fuzzing — Applying genetic algorithms and Bayesian optimization to discover the exact combinations of cut-in distances and decelerations that defeat AEB controllers.
- OpenSCENARIO 2.0 Execution Runtime — Executing declarative, intent-based driving scenarios with dynamic actors capable of reactive behavior based on the autonomous vehicle's actions.
Technical Articles
Related Cluster Architecture Specifications
- AutomotiveSDV — Full SDV Stack & Reference Architecture
- A2HCard — Agent-to-Human (A2H) Interface Cards & In-Cabin Autonomous Interaction Manifests
- A2HumanCard — Standardized In-Vehicle AI Agent Capability Discovery, Trust & Authorization Cards
- AIDrivenSynBio — AI-Driven Synthetic Biology for Automotive In-Cabin Air Purification, Bio-Engineered Pathogen Scavengers & Molecular Biosensors