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

The DESERVE Approach

Hardback
May 2017
9788793519145
More details
  • Publisher
    River Publishers
  • Published
    15th May 2017
  • ISBN 9788793519145
  • Language English
  • Pages 312 pp.
  • Size 6.125" x 9.25"
  • Images color graphs, charts & illus
$89.00
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March 2017
9788793519138
More details
  • Publisher
    River Publishers
  • Published
    31st March 2017
  • ISBN 9788793519138
  • Language English
  • Pages 312 pp.
  • Size 6.125" x 9.25"
  • Images color graphs, charts & illus
$67.50

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;
Driving modelling;
Video-based and Radar-based ADAS functions;
HMI for ADAS;
Vehicle-hardware-in-the-loop validation systems

Chapter 1 – The DESERVE project: Towards future ADAS functions.
Chapter 2 – The DESERVE Platform: A flexible development framework to seamlessly support the ADAS development levels
Chapter 3 – Driver Modelling
Chapter 4 – Component based frameworks for rapid development of multi-modal applications
Chapter 5 – Tuning of ADAS Functions using Design Space Exploration
Chapter 6 – Deep Learning for Advanced Driver Assistance Systems
Chapter 7 – Real-time data preprocessing for high-resolution MIMO-Radar sensors
Chapter 8 – Self-Calibration of Wide Baseline Stereo Camera Systems for Automotive Applications
Chapter 9 – Arbitration and Sharing control strategies in the driving process
Chapter 10 – The HMI of Preventing Warning Systems: the DESERVE Approach
Chapter 11 – Vehicle-Hardware-In-The-Loop Systems for Virtual Testing
Chapter 12 – List of Deliverables

Guillermo Payá-Vayá

Guillermo Payá-Vayá is at Leibniz Universität Hannover, Germany.

Holger Blume

Holger Blume is at Leibniz Universität Hannover, Germany.