Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems

Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems
The DESERVE Approach

River Publishers Series in Transport Technology

Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems
The DESERVE Approach

Editors:
Guillermo Payá-Vayá, Leibniz Universität Hannover, Germany
Holger Blume, Leibniz Universität Hannover, Germany

ISBN: 9788793519145

Available: April 2017

doi: https://doi.org/10.13052/rp-9788793519138


The European research project DESERVE (DEvelopment platform for Safe and Efficient dRiVE, 2012-2015) had the aim of designing and developing a platform tool to cope with the continuously increasing complexity and the simultaneous need to reduce cost for future embedded Advanced Driver Assistance Systems (ADAS). For this purpose, the DESERVE platform profits from cross-domain software reuse, standardization of automotive software component interfaces, and easy but safety-compliant integration of heterogeneous modules. This enables the development of a new generation of ADAS applications, which challengingly combine different functions, sensors, actuators, hardware platforms, and Human Machine Interfaces (HMI).

This book presents the different results of the DESERVE project concerning the ADAS development platform, test case functions, and validation and evaluation of different approaches. The reader is invited to substantiate the content of this book with the deliverables published during the DESERVE project.

Technical topics discussed in this book include:
  • Modern ADAS development platforms;
  • Design space exploration;
  • DRIVER MODELLING;
  • Video-based and Radar-based ADAS functions;
  • HMI for ADAS;
  • Vehicle-hardware-in-the-loop validation systems
Advanced Driver Assistance Systems (ADAS), development platforms, DRIVER MODELLING, ADAS functions, Human Machine Interfaces (HMI), vehicle-hardware-in-the-loop

Chapter 1: The DESERVE Project:Towards Future ADAS Functions
by Matti Kutila and Nereo Pallaro


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Chapter 2: The DESERVE Platform: A Flexible Development Framework to Seemlessly Support the ADAS Development Levels
by Frank Badstübner, Ralf Ködel,Wilhelm Maurer, Martin Kunert, André Rolfsmeier, Joshué Pérez, Florian Giesemann, Guillermo Payá-Vayá , Holger Blume and Gideon Reade


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Chapter 3: Driver Modelling
by Jens Klimke and Lutz Eckstein


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Chapter 5: Tuning of ADAS Functions Using Design Space Exploration
by Abhishek Ravi, Hans Michael Koegeler and Andrea Saroldi


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Chapter 6: Deep Learning for Advanced Driver Assistance Systems
by Florian Giesemann, Guillermo Payá-Vayá, Holger Blume, Matthias Limmer and Werner R. Ritter


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Chapter 7: Real-Time Data Preprocessing for High-Resolution MIMO Radar Sensors
by Frank Meinl, Eugen Schubert, Martin Kunert and Holger Blume


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Chapter 8: Self-Calibration of Wide Baseline Stereo Camera Systems for Automotive Applications
by Nico Mentzer, Guillermo Payá Vayá, Holger Blume, Nora von Egloffstein and Lars Krüger


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Chapter 9: Arbitration and Sharing Control Strategies in the Driving Process
by David González, Joshué Pérez, Vicente Milanés, Fawzi Nashashibi, Marga Sáez Tort and Angel Cuevas


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Chapter 10: The HMI of PreventingWarning Systems: The DESERVE Approach
by Caterina Calefato, Chiara Ferrarini, Elisa Landini, Roberto Montanari, Fabio Tango, Marga Sáez Tort and Eva M. García Quinteiro


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Chapter 11: Vehicle Hardware-In-the-Loop System for ADAS Virtual Testing
by Romain Rossi, Clément Galko, Hariharan Narasimman and Xavier Savatier


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