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Babysitter scenario-simulation

Scenario-based simulation for ADAS/AD validation

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/automotive-engineering/skills/scenario-simulation" ~/.claude/skills/a5c-ai-babysitter-scenario-simulation && rm -rf "$T"
manifest: library/specializations/domains/science/automotive-engineering/skills/scenario-simulation/SKILL.md
tags
#adas#autonomous-driving#simulation#validation#scenario-generation
source content

Driving Scenario Simulation Skill

Purpose

Enable scenario-based simulation for ADAS and autonomous driving validation including critical scenario generation and coverage analysis.

Capabilities

  • OpenSCENARIO/OpenDRIVE file creation
  • Scenario database management
  • Critical scenario generation
  • Sensor model configuration
  • Weather and lighting simulation
  • Traffic participant modeling
  • Scenario coverage analysis
  • Regression test suite management

Usage Guidelines

  • Create scenarios following OpenSCENARIO standards
  • Build comprehensive scenario database for validation
  • Generate critical scenarios from real-world data
  • Configure sensor models for realistic perception
  • Include environmental variations in testing
  • Track scenario coverage and completeness

Dependencies

  • CARLA
  • dSPACE ASM
  • IPG CarMaker
  • VTD
  • Foretellix

Process Integration

  • ADA-004: Simulation and Virtual Validation
  • SAF-002: SOTIF Analysis and Validation
  • ADA-003: ADAS Feature Development