Salvatore La Ciacera
Model based automated DDT fallback for L4 Autonomous vehicles.
Rel. Massimo Violante. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2025
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Abstract
The thesis hereby presented aims at implementing a safety strategy, capable of bringing an automated level 4 vehicle, to a minimum risk condition in case a performance related failure occurs, 2 different software’s are used to generate the model-based algorithm, MATLAB and Qt using State Chart XML. Chapter 1 gives insight into what is autonomous driving, the difference between each level of autonomy in an automated vehicle and a brief explanation of the CARLA autonomous driving simulator. Chapter 2 explains the design and the equipped sensors of the automated vehicle Chapter 3 describes how the autonomous driving simulator CARLA can connect and interact with the different software used in this thesis.
Chapters 4 and 5 explains what the scenario de􀃞nition for the implementation of the DDT-Fallback strategy is, and how it is modeled in MATLAB and Qt using State Chart XML, insight in each function that forms the algorithm is given
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