AIDec 24, 2024

Exploring Flexible Scenario Generation in Godot Simulator

arXiv:2412.18408v1h-index: 1Has Code
Originality Incremental advance
AI Analysis

This provides a more efficient testing method for CPS developers, though it is incremental as it builds on existing simulation approaches.

The paper tackles the problem of generating diverse testing scenarios for cyber-physical systems (CPS) by introducing a pipeline that reconstructs scenes from images using the Godot game engine, enabling scalable and flexible simulation-based testing.

Cyber-physical systems (CPS) combine cyber and physical components engineered to make decisions and interact within dynamic environments. Ensuring the safety of CPS is of great importance, requiring extensive testing across diverse and complex scenarios. To generate as many testing scenarios as possible, previous efforts have focused on describing scenarios using formal languages to generate scenes. In this paper, we introduce an alternative approach: reconstructing scenes inside the open-source game engine, Godot. We have developed a pipeline that enables the reconstruction of testing scenes directly from provided images of scenarios. These reconstructed scenes can then be deployed within simulated environments to assess a CPS. This approach offers a scalable and flexible solution for testing CPS in realistic environments.

Foundations

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