Organic Computing-Driven Vehicles in a Reproducible Test Setup for CARLA Simulator

This work presents a new reproducible test framework for Organic Computing (OC) applications in autonomous driving. We solve two major problems in performing reproducible experiments. First, we demonstrate a simple and inexpensive approach to recreate a test environment within the CARLA simulator to investigate accidents in depth as close to the real environment as possible. Secondly, we implement a new script-based framework to control mechanisms for generating repeatable experiments, ensuring consistent experimental results and verifying accurate trajectories.