ADAS Simulation Scenario Builder
Build validated ADAS simulation scenarios with systematic edge-case coverage
What You Can Do
You can generate complete simulation scenario specifications that systematically cover behavioral modes, environmental conditions, and failure modes aligned with ISO 26262 and SOTIF requirements. Claude helps you analyze testing gaps, create scenario variants for edge cases, validate configurations against safety standards, and document reproducible test matrices for HIL/SIL testing across multiple simulation platforms like CARLA, PreScan, and IPG CarMaker.
Features
Create comprehensive test matrices covering nominal conditions, adverse weather, lighting variations, and dynamic traffic patterns
Automatically surface critical failure modes, sensor occlusions, and boundary conditions specific to your ADAS feature
Cross-check scenarios against ISO 26262, ISO 21448 (SOTIF), and functional safety requirements
Generate scenario specifications exportable to CARLA, PreScan, IPG CarMaker, and other simulation tools
Identify gaps in existing scenario libraries and recommend priority scenarios based on functional requirements
Pre-structured templates for vehicle dynamics, sensor configurations, weather conditions, and traffic patterns
Document all scenario variants with version control metadata for cross-team consistency
Incorporate FMEA results and known issues into scenario design for targeted edge-case validation
Example Output
Lane-Keeping Assist (LKA) Test Matrix
Nominal Conditions:
- Scenario LKA-001: Straight highway, clear markings, 60–120 km/h
- Scenario LKA-002: Gentle curves (radius > 500m), day lighting
Environmental Edge Cases:
- Scenario LKA-201: Rain (0.5–2.0 mm/min), lane marking visibility reduced 40%
- Scenario LKA-202: Night driving, high-beam glare from oncoming vehicle at 300m
- Scenario LKA-203: Sun glare at 15° elevation, wet road reflections
Failure Modes:
- Scenario LKA-301: Partial lane marking occlusion (construction, shadows) affecting 60% of visible range
- Scenario LKA-302: Sensor dropout recovery: camera dropout 2.5 seconds, lane prediction continuation
Validation Status: ✓ ISO 26262 ASIL-B coverage confirmed | ✓ SOTIF hazard scenario alignment verified | ⚠ Sensor fusion failure mode requires additional coverage
What's Included
- SKILL.md: Complete scenario-building methodology and workflow
- Scenario Template Library: YAML/JSON templates for vehicle dynamics, environmental conditions, and sensor configurations
- Test Matrix Framework: Structured spreadsheet for mapping functional requirements to scenario variants
- Safety Standard Checklist: ISO 26262, ISO 21448, and domain-specific compliance verification guide
- Edge-Case Taxonomy: Comprehensive reference of ADAS-specific failure modes, weather conditions, and lighting scenarios
- Platform-Specific Export Guides: Configuration examples for CARLA, PreScan, and IPG CarMaker
Who It's For
- ADAS/Autonomous Vehicle Engineers — Planning and validating comprehensive test coverage for lane-keeping, adaptive cruise, and object detection features
- Simulation Test Leads — Managing test matrices and scenario libraries across hardware-in-the-loop and software-in-the-loop platforms
- Functional Safety Engineers — Ensuring test scenarios align with ISO 26262 and SOTIF requirements and close FMEA gaps
- Automotive OEM Test Strategists — Designing reproducible test campaigns that scale across development teams and simulation tools
- Validation and Verification Specialists — Documenting scenario configurations for regulatory compliance and cross-platform consistency
Best For
- Creating systematic test matrices for new ADAS features from functional requirements
- Identifying and documenting edge-case scenarios (adverse weather, sensor failures, dynamic traffic)
- Validating scenario coverage against ISO 26262, SOTIF, and internal safety standards
- Generating platform-agnostic scenario specifications for CARLA, PreScan, and IPG CarMaker
- Expanding existing scenario libraries with targeted failure-mode coverage based on FMEA results
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