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

Dr. Guillermo Paya-Vaya (Leibniz Universitat Hannover, Germany) Dr. Holger Blume (Leibniz Universitat Hannover, Germany)

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English
River Publishers
12 July 2022
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
Edited by:   , ,
Imprint:   River Publishers
Country of Publication:   Denmark
Dimensions:   Height: 234mm,  Width: 156mm,  Spine: 19mm
Weight:   612g
ISBN:   9788793519145
ISBN 10:   8793519141
Series:   River Publishers Series in Transport Technology
Pages:   292
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Further / Higher Education ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
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

Guillermo Paya-Vaya, Holger Blume

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