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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

Driver information and assistance systems have emerged as an integral part of modern road vehicles in order to support the driver while driving. They make use of the newest information technologies in order to enhance driver awareness, safety and comfort, and thereby avoiding driver errors and accidents. Driver Adaptation to Information and Assistance Systems brings together recent work by the Marie-Curie Initial Training Network ADAPTATION. The project has studied drivers'behavioural adaptation to these new technologies from an integrative perspective working under a joint conceptual theoretical framework of behavioural adaptation that can be used to generate research hypotheses about how drivers will adapt to information and assistance systems and to derive guidelines for the design and deployment of such systems.

A Practical Resource for Understanding, Preventing, and Managing Driver Distraction It is estimated that up to 23 percent of crashes and near-crashes are caused by driver distraction, and these figures will likely increase as more and more distractions, both inside and outside the vehicle, compete for driver attention. Driver Distraction: Theory, E