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

Nico Schick (Autor)

Buch

20 Seiten

2020
Cuvillier Verlag
978-3-7369-7246-9 (ISBN)

Infos

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.

Produkt-Details

• Erscheinungsdatum: 18.08.2020
• Verlagsort: Göttingen
• Sprache: englisch
• Maße: 148 x 210 mm
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
• Schlagworte: Abbiegen • algorithms • alternative data • alternative Daten • Artificial Intelligence • Automobilsektor • Automotive • Automotive Sector • autonomes Auto • Autonomes Fahren • Autonomes Fahrzeug • autonome Software • Autonomous • Autonomous Car • Autonomous Driving • autonomous driving software • autonomous software • autonomous vehicle • Autounfälle • boundary constraints • car accidents • challenging driving • Critical • criticality • data synthesis • Datensynthese • Development • driver behaviour • driving scenarios • driving scenes • emergency braking • Fahrerassistenzsysteme • Fahrszenarien • Fahrzeugbewegung • forensic analysis • generative algorithm • herausforderndes Fahren • key disciplines • Kinematic Models • Kritikalität • Künstliche Intelligenz • lane changes • machine learning • Maschinelles Lernen • Mathematical Models • measurements • Modeling • Modellierung • Models • moderne Fahrzeuge • modern vehicles • Movement • neural network • Notbremsung • opposing traffic • overtaking • physical models • rarely recorded data • reaction time • Reaktionszeit • real measurements • Safety • Safety-Critical • safety-critical driving scenarios • safety-critical driving scenes • Scenarios • scenes • Schlüsseldisziplinen • Sicherheit • SICHERHEITSKRITISCH • Simulation • Software • Software Algorithms • Software Component • Spurwechsel • synthesized data • Technical Systems • Traffic Accidents • traffic deaths • traffic injuries • Training • Turning • underlying data • Validation • vehicle’s movement • Verkehrstote • Verkehrsunfälle
• ISBN-10: 3-7369-7246-6 / 3736972466
• ISBN-13: 978-3-7369-7246-9 / 9783736972469
• Zustand: Neuware