Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems
The DESERVE Approach
River Publishers Series in Transport Technology
Editors:
Guillermo Payá-Vayá, Leibniz Universität Hannover, Germany
Holger Blume, Leibniz Universität Hannover, Germany
Chapter 1: The DESERVE Project:Towards Future ADAS Functions
by Matti Kutila and Nereo Pallaro
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
Chapter 3: Driver Modelling
by Jens Klimke and Lutz Eckstein
Chapter 4: Component Based Middleware for Rapid Development of Multi-Modal Applications
by Gwenaël Dunand
Chapter 5: Tuning of ADAS Functions Using Design Space Exploration
by Abhishek Ravi, Hans Michael Koegeler and Andrea Saroldi
Chapter 6: Deep Learning for Advanced Driver Assistance Systems
by Florian Giesemann, Guillermo Payá-Vayá, Holger Blume,
Matthias Limmer and Werner R. Ritter
Chapter 7: Real-Time Data Preprocessing for High-Resolution MIMO Radar Sensors
by Frank Meinl, Eugen Schubert, Martin Kunert and Holger Blume
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
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
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. GarcÃa Quinteiro
Chapter 11: Vehicle Hardware-In-the-Loop System for ADAS Virtual Testing
by Romain Rossi, Clément Galko, Hariharan Narasimman and Xavier Savatier