Digital Shadow & Virtual Worlds for VR Driving in CARLA
Andrea Spanu
Digital Shadow & Virtual Worlds for VR Driving in CARLA.
Rel. Andrea Bottino, Francesco Strada. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Del Cinema E Dei Mezzi Di Comunicazione, 2025
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (92MB) | Preview |
Abstract
Evaluating rare but critical driving situations, such as hazardous road events or complex traffic interactions, is challenging yet essential. Physical tests for every possible scenario are expensive, difficult to manage reliably, and potentially dangerous. Consequently, virtual simulations have become fundamental resources for research in autonomous driving, traffic modeling, and safety analysis. Researchers take advantage of these environments to replicate diverse driving scenarios. Sensor responses allow them to analyze vehicle behavior in a controlled and highly adaptable setting. Among the virtual simulation tools, CARLA (Car Learning to Act) stands out as an open-source driving simulator widely used for autonomous vehicle research and other multidisciplinary studies.
Thanks to its realistic physics engine, customizable sensors and high-quality rendering, CARLA is also used in areas such as computer vision for neural network training, robotics through integration with the Robot Operating System (ROS), human-machine interaction to analyze human behavior in autonomous driving scenarios and urban planning
Tipo di pubblicazione
URI
![]() |
Modifica (riservato agli operatori) |
