Beyond Traditional Simulators: Adopting Videogames for Autonomous Vehicle Testing

This article presents an ongoing research study investigating the potential of using Grand Theft Auto V (GTAV) as a simulation environment for testing edge cases in self-driving vehicles. Our hypothesis is that GTAV can offer a more accessible and cost-effective solution for testing edge cases compa...

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Bibliographic Details
Main Authors: Maaradji, Abderrahmane, Bouchemal, Naila, Smadhi, Idir, Bouhraoua, Ahmed, Ghanine, Amayas
Format: Conference Proceeding
Language:English
Subjects:
Autonomous vehicles
Big Data
CARLA
Clouds
Edge-case sce-nario
GTAV
Openpilot
Scalability
Self-driving vehicles
Simulation environment
Urban areas
Vehicle dynamics
Video games
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Summary:This article presents an ongoing research study investigating the potential of using Grand Theft Auto V (GTAV) as a simulation environment for testing edge cases in self-driving vehicles. Our hypothesis is that GTAV can offer a more accessible and cost-effective solution for testing edge cases compared to established simulation environments such as CARLA. In this work-in-progress study, we aim to assess the feasibility, scalability, and effectiveness of utilizing GTAV by simulating complex driving scenarios. We selected Openpilot, an open-source Advanced Driver-Assistance System (ADAS), to test these scenarios. Compared to CARLA, GTAV proved to be a better choice for testing realistic urban environments, dynamic weather, complex intersections, and detailed nighttime settings. Moreover, these simulations offered valuable insights into how Openpilot reacts to various driving conditions and how it could be enhanced to handle edge cases more efficiently.
ISSN:2837-0740
DOI:10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361295