CARLA Skill

Connect to a running CARLA server and collect multi-camera driving data.

Updated May 7, 2026
One-click install
npx skills add https://github.com/EurecaMoment/BenchClaw --skill carla-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: CARLA Skill
Source: https://github.com/EurecaMoment/BenchClaw/tree/main/BenchClaw/simulatorCards/CARLA
Command: npx skills add https://github.com/EurecaMoment/BenchClaw --skill carla-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires carla, numpy, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of connecting to a running CARLA server and collecting multi-camera driving data, saving time and effort in data collection for autonomous vehicle research.

Core Features & Use Cases

  • Automated CARLA Server Connection: Connects to an already-running CARLA server endpoint, ensuring a reliable connection for data collection.
  • Multi-Camera Data Collection: Captures multi-camera driving data, including ego pose and camera pose, for analysis.
  • Use Case: Ideal for researchers and developers working on autonomous vehicle systems who need to collect driving data for training and testing.

Quick Start

Use the CARLA Skill to collect multi-camera driving data from a running CARLA server using the command: carla_skill collect --host 127.0.0.1 --port 2000 --maps Town10HD_Opt --frames-per-map 1.

Frequently Asked Questions about CARLA Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate CARLA simulation driving data collection for autonomous vehicles?

Automate CARLA driving data collection by connecting to a running CARLA server and capturing multi-camera frames along with ego pose and camera pose data for autonomous vehicle research.

What is the best way to collect multi-camera driving data from a CARLA server?

Collect multi-camera driving data from a CARLA server by automating the server connection endpoint and capturing synchronized camera outputs for training and testing autonomous vehicle systems.

Do I need a running CARLA server to collect autonomous vehicle driving data?

Yes, you need a running CARLA simulation server to connect to for driving data collection, requiring the CARLA environment and Python libraries like numpy for data processing.

Can I use this CARLA Skill to capture ego pose and camera pose for driving data?

Yes, the CARLA Skill captures multi-camera driving data including both ego pose and camera pose, providing the necessary outputs for autonomous vehicle analysis and development.

How do I specify maps and frames when collecting autonomous vehicle driving data in CARLA?

Specify maps and frames when collecting autonomous vehicle driving data in CARLA using command arguments like --maps Town10HD_Opt and --frames-per-map 1 to control the simulation collection parameters.

What Python dependencies are required for CARLA simulation data collection?

CARLA simulation data collection requires the carla and numpy Python libraries to connect to the server endpoint and process the captured multi-camera driving data outputs.