ad-experiment-design
OfficialStreamline AD safety experiment design with simulation & analysis tools.
Software Engineering#experiment design#simulation#statistical analysis#autonomous driving#AD safety research
AuthorRoboSafe-Lab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the process of designing and analyzing experiments for autonomous driving safety research, providing tools for simulation studies, benchmark evaluations, and real-world testing.
Core Features & Use Cases
- Simulation Platforms: Integration with CARLA, SUMO, CommonRoad, and other AD simulators for comprehensive simulation studies.
- Real-World Datasets: Utilizes datasets like nuScenes, Waymo, KITTI, and FARS for robustness testing and safety evaluations.
- Experiment Design Framework: Offers a structured approach to experiment design, including variable management, test matrix creation, and statistical analysis.
Quick Start
Run the design_experiment command with the required parameters: design_experiment --method variantA --environment wet_road --speed 60km/h.
Dependency Matrix
Required Modules
carlasumocommonroadnuSceneswaymokittifars
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ad-experiment-design Download link: https://github.com/RoboSafe-Lab/ad-safety-research-skills/archive/main.zip#ad-experiment-design Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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