Validation and Verification of Automated Systems

Results of the ENABLE-S3 Project
1. Auflage 2020
ISBN: 978-3-030-14627-6
Verlag: Springer

Buch, Englisch, 320 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 664 g

The book summarizes the main results of the the project ENABLE-S3 covering the following aspects: validation and verification technology bricks (collection and selection of test scenarios, test executions envionments incl. respective models, assessment of test results), evaluation of technology bricks in selected use cases and standardization and related initiatives. ENABLE-S3 is an industry-driven EU-project and aspires to substitute todays' cost-intensive verification and validation efforts by more advanced and efficient methods. In addition, the book includes articles about complementary international activities in order to highlight the global importance of the topic and to cover the wide range of aspects that needs to be covered at a global scale.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Leitner, Andrea

Watzenig, Daniel

Ibanez-Guzman, Javier

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Transport- und Verkehrswirtschaft
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Fahrzeugtechnik

Inhaltsverzeichnis

Part I.- Introduction and Motivation.- Challenges for Scenario-Based V&V of Automated Systems from an OEM Perspective.- Challenges for Scenario-Based V&V of Automated Systems from an Academic Perspective.- Challenges for Scenario-Based V&V of Automated Systems from a Tool Provider Perspective.- ENABLE-S3: Project Introduction.- Part II.- V&V Technology Bricks for Scenario-Based Verification & Validation.- Using Scenarios in Safety Validation of Automated Systems.- Traffic Sequence Charts for the ENABLE-S3 Test Architecture.- A scenario Discovery Process Based on Traffic Sequence Charts.- Digital Map and Environment Generation.- Systematic Verification and Testing.- Reliable Decision-Making in Autonomous Vehicles.- Radar Signal Processing Chain for Sensor Model Development.- Functional Decomposition of Lidar Sensor Systems for Model Development.- Camera Sensor System Decomposition for Implementation and Comparison of Physical Sensor Models.- Seamless Tool Chain for the Verification,Validation and Homologation of Automated Driving.- Part III.- Applications.- Validation Framework Applied to the Decision-Making Process for an Autonomous Vehicle Crossing Road Intersections.- Validation of Automated Valet Parking.- Validation of Railway Control Systems.- Reconfigurable Video Processor for Space.- Maritime Co-simulation Framework: Challenges and Results.- Validation of Automated Farming.- A Virtual Test Platform for the Health Domain.