الصفحة 1
الصفحة 1
Model-Based Engineering of Collaborative Embedded Systems : Extensions of the SPES Methodology
This book presents the results of the "Collaborative Embedded Systems" (CrESt) project, aimed at adapting and complementing the methodology underlying modeling techniques developed to cope with the challenges of the dynamic structures of collaborative embedded systems (CESs) based on the SPES development methodology.
Deep neural networks and data for automated driving : robustness, uncertainty quantification, and insights towards safety
Environment perception for highly automated driving heavily employs deep neural networks, facing many challenges. How much data do we need for training and testing? How to use synthetic data to save labeling costs for training? How do we increase robustness and decrease memory usage? For inevitably poor conditions: How do we know that the network is uncertain about its decisions? Can we understand a bit more about what actually happens inside neural networks? This leads to a very practical problem particularly for DNNs employed in automated driving: What are useful validation techniques and how about safety? This book unites the views from both academia and industry, where computer vision and machine learning meet environment perception for highly automated driving. Naturally, aspects of data, robustness, uncertainty quantification, and, last but not least, safety are at the core of it. This book is unique: In its first part, an extended survey of all the relevant aspects is provided. The second part contains the detailed technical elaboration of the various questions mentioned above.
AVENUE21. Connected and Automated Driving : Prospects for Urban Europe
This publication examines the impact of connected and automated vehicles on the European city and the conditions that can enable this technology to make a positive contribution to urban development. The authors argue for two theses that have thus far received little attention in scientific discourse: as connected and automated vehicles will not be ready for use in all parts of the city for a long time, previously assumed effects – from traffic safety to traffic performance as well as spatial effects – will need to be re-evaluated.
Autonomous driving : Technical, legal and social aspects
This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies?
Automotive Lighting and Human Vision
Visual perception is the most important of the human senses. Lack of visual perception is one of the main causes of accidents. The safety of vehicle traffic depends on how well automotive lighting supports the visual perception of the driver. This book explains the fundamentals of visual perception, like e.g. physiology of eye and brain, as well as those of automotive lighting technology, like e.g. design of headlamps and signal lights. It is an interdiciplinary approach to a fastly evolving field of science and technology, answering questions like "How does information enter our brain when driving a car?" and "What are the benefits and dangers of LED signal lighting?"
