Section 1: Autonomous Mobility

Edited by Jordi Guijarro Olivares, i2CAT, Spain, jordi.guijarro@i2cat.net | Peter Hofmann, Deutsche Telekom Security, Germany | Petros Kapsalas, Panasonic Automotive Systems Europe, Greece | Jordi Casademont, Universitat Politècnica de Catalunya, Spain | Saber Mhiri, i2CAT, Spain | Nikos Piperigkos, University of Patras, Greece | Rodrigo Diaz, ATOS, Spain | Bruno Cordero, i2CAT, Spain | Jordi Marias, i2CAT, Spain | Adrián Pino, i2CAT, Spain | Theocharis Saoulidis, SIDROCO, Cyprus | Josep Escrig, i2CAT, Spain | Choi You Jun, KATECH, South Korea | Taesang Choi, ETRI, South Korea

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Published: 29 Dec 2022

© 2022 Jordi Guijarro Olivares | Peter Hofmann | Petros Kapsalas | Jordi Casademont | Saber Mhiri | Nikos Piperigkos | Rodrigo Diaz | Bruno Cordero | Jordi Marias | Adrián Pino | Theocharis Saoulidis | Josep Escrig | Choi You Jun | Taesang Choi

Abstract

Automated driving systems were developed to automate, adapt and enhance vehicle systems for safety and improved driving. Most road accidents occur due to human error, and automated systems use input from sensors like video cameras to reduce human error by issuing driver alerts or controlling the vehicle. Such systems have become common in modern cars, with automobile manufacturers integrating these systems in their cars. There are six levels of automation as shown in Figure 1. When it comes to Advanced Driver Assistance Systems (ADAS), the highest level (5) corresponds to full automation where the automated functions control all aspects of the car, and the lowest level (0) where the driver controls all aspects of the car.