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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

E-Book ISBN: 9788793519138

doi: 10.13052/rp-9788793519138

Price : €0.00

Available:  April 2017

Print book available at List Price

Downloads: [226] Reads [116]    

Description:

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

 

Book Contents:

Chapter 01

The DESERVE Project:Towards Future ADAS Functions
by Matti Kutila and Nereo Pallaro
Download as a PDF [1373KB] Downloads [133]


Chapter 02

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
Download as a PDF [7399KB] Downloads [102]


Chapter 03

Driver Modelling
by Jens Klimke and Lutz Eckstein
Download as a PDF [3179KB] Downloads [144]


Chapter 04

Component Based Middleware for Rapid Development of Multi-Modal Applications
by Gwenaël Dunand
Download as a PDF [2414KB] Downloads [68]


Chapter 05

Tuning of ADAS Functions Using Design Space Exploration
by Abhishek Ravi, Hans Michael Koegeler and Andrea Saroldi
Download as a PDF [9646KB] Downloads [97]


Chapter 06

Deep Learning for Advanced Driver Assistance Systems
by Florian Giesemann, Guillermo Payá-Vayá, Holger Blume, Matthias Limmer and Werner R. Ritter
Download as a PDF [1215KB] Downloads [65]


Chapter 07

Real-Time Data Preprocessing for High-Resolution MIMO Radar Sensors
by Frank Meinl, Eugen Schubert, Martin Kunert and Holger Blume
Download as a PDF [2898KB] Downloads [270]


Chapter 08

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
Download as a PDF [16695KB] Downloads [70]


Chapter 09

Arbitration and Sharing Control Strategies in the Driving Process
by David González, Joshué Pérez, Vicente Milanés, Fawzi Nashashibi, Marga Sáez Tort and Angel Cuevas
Download as a PDF [5339KB] Downloads [150]


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
Download as a PDF [6318KB] Downloads [59]


Chapter 11

Vehicle Hardware-In-the-Loop System for ADAS Virtual Testing
by Romain Rossi, Clément Galko, Hariharan Narasimman and Xavier Savatier
Download as a PDF [8129KB] Downloads [175]


 

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