Giacomo Vigna
Analysis of Functional Safety of an ECU implementing a Neural Network for Autonomous Driving.
Rel. Stefano Alberto Malan. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2021
Abstract
Today, it is impossible not to heard about Autonomous Vehicles(AVs). Autonomous Vehicles (AVs) being an essential part of the future smart city traffic is a hot topic in recent years, but still to be developed. These systems, also called self-driving cars are a kind of mobile robot and comprising perception system, behavioral decision, motion planning and intelligent control. Along with them a lot of social benefits are carried out. First of all it is expected to reduce the number of accidents, as over 90 % of accidents is caused by human mistakes. Second AVs can affect travel costs and labor costs by exploiting for example intelligent car pooling.
Thirdly, they can help regulate traffic jams, that are typically related to a disrespectful interaction, adoperated by humans, of traffic signs and consequently traffic violations
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