Simulazione di Sicurezza ADAS e Guida Autonoma Basata su Scenari
SelfDrivingSim automatizza la scoperta di condizioni operative sconosciute e pericolose per i veicoli autonomi. Dotato di un motore OpenSCENARIO 2, effettua fuzzing su milioni di variazioni per certificare i sistemi secondo ISO 21448.
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
Affrontare gli scenari 'sconosciuti-pericolosi' nella mobilità autonoma
Diversamente da ISO 26262 che gestisce i guasti hardware, ISO 21448 SOTIF affronta i rischi da insufficienza funzionale in sistemi privi di guasti. SelfDrivingSim muta illuminazione, traiettorie e occlusioni per isolare i confini di errore.
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