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Who has been the worlds greatest driver, and how do you prove it? With an eye for detail and a flair for storytelling, this book explores motor racings rich history in pursuit of the best driver the world has ever seen. Most enthusiasts have a strongly held opinion as to racings finest driver over the century of the motor car. By putting aside bias and personal opinion, this books exhaustively researched, results-based analysis provides a definitive answer through clear and logical evaluation. These carefully considered, significant statistics, when merged together, reveal with incisive objectivity motor sports greatest driver as well as the qualities that define greatness. Contentious? Poss...
World-class experts from academia and industry assembled at the sixth Biennial Workshop on Digital Signal Processing (DSP) for In-Vehicle Systems at Korea University, Seoul, Korea in 2013. The Workshop covered a wide spectrum of automotive fields, including in-vehicle signal processing and cutting-edge studies on safety, driver behavior, infrastructure, in-vehicle technologies. Contributors to this volume have expanded their contributions to the Workshop into full chapters with related works, methodology, experiments, and the analysis of the findings. Topics in this volume include: DSP technologies for in-vehicle systems Driver status and behavior monitoring In-Vehicle dialogue systems and human machine interfaces In-vehicle video and applications for safety Passive and active driver assistance technologies Ideas and systems for autonomous driving Transportation infrastructure
This SpringerBrief covers the security and privacy challenges in fog computing, and proposes a new secure and privacy-preserving mechanisms to resolve these challenges for securing fog-assisted IoT applications. Chapter 1 introduces the architecture of fog-assisted IoT applications and the security and privacy challenges in fog computing. Chapter 2 reviews several promising privacy-enhancing techniques and illustrates examples on how to leverage these techniques to enhance the privacy of users in fog computing. Specifically, the authors divide the existing privacy-enhancing techniques into three categories: identity-hidden techniques, location privacy protection and data privacy enhancing te...
Research on driver behaviour over the past three decades has clearly demonstrated that the goals and motivations a driver brings to the driving task are important determinants for driver behaviour. The objective of the book, and of the International Conference on Driver Behaviour and Training on which it is based, is to describe and discuss recent advances in the study of driving behaviour and driver training. It bridges the gap between practitioners and theoreticians investigating driving behaviour, from a number of different perspectives and related disciplines. A major focus is to consider how driver training needs to be adapted to take into account individual differences, in order to rai...
Visual perception and its relationship to the subsequent manipulative behaviors are fundamental for people to recognize the world. The most important manipulations of drivers are speed control and steering, which could possibly guarantee a safe driving. So, to avoid accidents the driver does a series of judgments, decisions and actions, which could be impact by the visual information it perceived. Over the past few decades, visual perception has gradually gone from the psychology domain to its relevant fields, like the transportation science and engineering, to play a more important role in the human factors in transportation. This books presents the state of the art in speed perception and ...
Vols. for 1867-1915 include report of the state director of the United New Jersey Railroad and Canal Company issued through 1878 under its earlier names: 1867-71, Delaware and Raritan Canal and Camden and Amboy Railroad and Transportation Companies (which continues the reports of the State Directors); 1873-78, United Rail Road and Canal Company of New Jersey.
This SpringerBrief presents the fundamentals of driver drowsiness detection systems, provides examples of existing products, and offers guides for practitioners interested in developing their own solutions to the problem. Driver drowsiness causes approximately 7% of all road accidents and up to 18% of fatal collisions. Proactive systems that are capable of preventing the loss of lives combine techniques, methods, and algorithms from many fields of engineering and computer science such as sensor design, image processing, computer vision, mobile application development, and machine learning which is covered in this brief. The major concepts addressed in this brief are: the need for such system...