Modeling of specific safety-critical driving scenarios for data synthesis in the context of autonomous driving software

Language: English

Published by Cuvillier, 2020

3736972466 / 9783736972469

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Softcover

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nach der Bestellung gedruckt Neuware - Printed after ordering - Autonomous driving is one of the key disciplines in the automotive field and currently under intensive development, especially with the objective of saving more people's lives on the roads due to significant reductions in the number of traffic accidents. Therefore, the software components within autonomous cars must be tested efficient and precisely. One of the most challenging aspects of autonomous cars are the safety-critical driving scenarios. Their criticality has seldom been measured in terms of further forensic analysis or software solutions in the field of artificial intelligence. Therefore, data related to safety-critical driving scenarios must be obtained another way. In this context, kinematic models can be used to represent these scenes by describing the vehicle's movements based on defined boundary constraints as well as providing synthesized data through the simulation of a model for the training and validation of the underlying machine learning algorithms, such as neural networks or generative algorithms. In this paper, three of the most significant safety-critical driving scenarios, namely emergency braking, turning, and overtaking, are modeled accordingly.…

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Bibliographic details

Title
Modeling of specific safety-critical driving scenarios for data synthesis in the context of autonomous driving software
Author
Nico Schick
Publisher
Cuvillier
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3736972466
ISBN 13
9783736972469
Item weight
49 grams
Dimensions
210x148x2 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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