Pseudo-Random UAV Test Generation Using Low-Fidelity Path Simulator
–arXiv.org Artificial Intelligence
--Simulation-based testing provides a safe and cost-effective environment for verifying the safety of Uncrewed Aerial V ehicles (UA Vs). However, simulation can be resource-consuming, especially when High-Fidelity Simulators (HFS) are used. T o optimise simulation resources, we propose a pseudo-random test generator that uses a Low-Fidelity Simulator (LFS) to estimate UA V flight paths. T est cases predicted to cause safety violations in the LFS are subsequently validated using the HFS. This paper presents PRGenUA V -LFS, a test generation tool that participated in the UA V Testing Competition organised by the Search-Based and Fuzz Testing (SBFT 2025) workshop [3].
arXiv.org Artificial Intelligence
Mar-31-2025
- Country:
- Europe > United Kingdom > England > Bristol (0.05)
- Genre:
- Research Report (0.50)
- Industry:
- Transportation (0.32)
- Technology: