Validation and Verification of Automated Systems

1. Front Matter

   Pages i-xi

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2. Introduction and Motivation

   1. Front Matter

      Pages 1-1

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   2. Challenges for Scenario-Based V&V of Automated Systems from an OEM Perspective

      • Javier Ibanez-Guzman

      Pages 3-5

   3. Challenges for Scenario-Based V&V of Automated Systems from an Academic Perspective

      • Daniel Watzenig

      Pages 7-9

   4. Challenges for Scenario-Based V&V of Automated Systems from a Tool Provider Perspective

      • Kai Voigt, Andrea Leitner

      Pages 11-12

   5. ENABLE-S3: Project Introduction

      • Andrea Leitner

      Pages 13-23

3. V&V Technology Bricks for Scenario-Based Verification & Validation

   1. Front Matter

      Pages 25-25

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   2. Using Scenarios in Safety Validation of Automated Systems

      • Sytze Kalisvaart, Zora Slavik, Olaf Op den Camp

      Pages 27-44

   3. Traffic Sequence Charts for the ENABLE-S3 Test Architecture

      • Werner Damm, Eike Möhlmann, Astrid Rakow

      Pages 45-60

   4. A Scenario Discovery Process Based on Traffic Sequence Charts

      • Werner Damm, Eike Möhlmann, Astrid Rakow

      Pages 61-73

   5. Digital Map and Environment Generation

      • Gerald Temme, Michael Scholz, Mohamed Mahmod

      Pages 75-87

   6. Systematic Verification and Testing

      • Dana Dghaym, Tomas Fischer, Thai Son Hoang, Klaus Reichl, Colin Snook, Rupert Schlick et al.

      Pages 89-104

   7. Reliable Decision-Making in Autonomous Vehicles

      • Gleifer Vaz Alves, Louise Dennis, Lucas Fernandes, Michael Fisher

      Pages 105-117

   8. Radar Signal Processing Chain for Sensor Model Development

      • Martin Holder, Zora Slavik, Thomas D’hondt

      Pages 119-133

   9. Functional Decomposition of Lidar Sensor Systems for Model Development

      • Philipp Rosenberger, Martin Holder, Marc René Zofka, Tobias Fleck, Thomas D’hondt, Benjamin Wassermann et al.

      Pages 135-149

   10. Camera Sensor System Decomposition for Implementation and Comparison of Physical Sensor Models

       • Marcel Mohr, Gustavo Garcia Padilla, Kai-Uwe Däne, Thomas D’hondt

       Pages 151-163

   11. Seamless Tool Chain for the Verification, Validation and Homologation of Automated Driving

       • Andrea Leitner, Jürgen Holzinger, Hannes Schneider, Michael Paulweber, Nadja Marko

       Pages 165-176

4. Applications

   1. Front Matter

      Pages 177-177

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   2. Validation Framework Applied to the Decision-Making Process for an Autonomous Vehicle Crossing Road Intersections

      • Mathieu Barbier, Javier Ibanez-Guzman, Christian Laugier, Olivier Simonin

      Pages 179-205

   3. Validation of Automated Valet Parking

      • Hasan Esen, Maximilian Kneissl, Adam Molin, Sebastian vom Dorff, Bert Böddeker, Eike Möhlmann et al.

      Pages 207-220

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.

• Automated driving
• ADAS
• Advanced driver assistance systems
• Validation and verification of automated systems
• Sensor stimulation
• Sensor modeling
• Scenario generation
• ENABLE-S3
• quality control, reliability, safety and risk

• AVL LIST GMBH, Graz, Austria

  Andrea Leitner

• Virtual Vehicle Research Center, Graz University of Technology, Graz, Austria

  Daniel Watzenig

• API : TCR RUC 0 52, Renault S.A., Guyancourt, France

  Javier Ibanez-Guzman

Policies and ethics