Federico Stella
Virtual vehicle sensor's set-up and synchronous logging from CARLA Simulator.
Rel. Massimo Violante, Alessandro Tessuti, Simone Maragliulo. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2025
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Abstract
Improving road safety is a global priority, with the World Health Organization identifying human error as the main cause of accidents. In response to this, the Zero Vision project has been launched with the ambition of completely eliminating road deaths by the year 2050 through the mandatory introduction of Advanced Driver Assistance Systems (ADAS) technologies and the development of autonomous driving systems. Before being deployed in vehicles, these systems must undergo rigid testing and validation phases to ensure their effectiveness and safety among the variety of conditions under which they may operate. This process requires the collection of huge amounts of data, even for complex driving scenarios.
As such collection is costly and risky when dealing with borderline situations, the work proposed in this thesis aims to develop a fully customizable virtual environment for the generation of synthetic data which can be used to integrate real-world data in the validation phase, enabling the safe and controlled reproduction of the most difficult scenarios to be captured on the road
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