Mehrdad Moslemi
Autonomous Cars & ADAS: Complex Scenario Generation, Simulation and Evaluation of Collision Avoidance Systems.
Rel. Stefano Di Carlo, Thomas Ponn. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2019
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Abstract
This thesis provides an overview of Autonomous Driving and ADAS, through the view point of automotive control systems, by implementing a test-bench to evaluate the performance of an autonomous car model in some critical driving scenarios and evaluating the performance of this system. First two chapters of this thesis provide an overview and some useful information about the concepts and technologies that are needed to develop these ideas. Consequently, the route that autonomous driving concept has already taken and what is expected to reach in the future, with regards to the standards, legislation and limits is discussed and presented. In the third chapter, concepts and technologies that are already mentioned, are taken into account to build up a model that would correspond to some specific simulations to test and evaluate the performance of an automated car.
For implementation of this model, four main ADAS functions (ACC, LKA, LCA, AEB) based on Matlab pre-built models are merged into a test-bench and configured to obtain the best possible performance
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