Titlebook: Automatisiertes Fahren 2019; Von der Fahrerassist Torsten Bertram Conference proceedings 2020 Der/die Herausgeber bzw. der/die Autor(en), e

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Information Technology and Globalizationhicles with a high level of automation will be ready for market within the next decade. The vision of automated vehicles on public roads not only depends on technical progress but also requires an adequate liability framework to ensure legal certainty for the relevant stakeholders on both the demand

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Globalization and Social Equityhis chapter we explore how AI can be used to improve parts of the classical ADAS algorithm chain. Based on this, we investigate the full Automated Driving pipeline. Firstly, we describe the building blocks of the pipeline composed of standard computer vision tasks. We provide an overview of use case

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Introduction to the English Editiong AD beside the actual vehicle platform and the sensors for perceiving the environment is the AD system, i.e., the software that enables a vehicle to perform distinct dynamic driving tasks in a distinct operational design domain. Briefly speaking, an operational design domain defines environmental a

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https://doi.org/10.1007/978-3-662-04407-0lp of real driving tests. It certainly makes sense to feed measurement data from the field test into an SIL environment in order to test new software versions. However, the usable amount of data is by far not sufficient for a statistical proof of safety [1].

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